{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/jjansa/Dropbox/Learning in American Govt Project/Calibrating Confidence -- MPSA 2023/Data/jrs_calibrate_log_2.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}12 Jul 2024, 17:40:28

{com}. do "/var/folders/h_/v9lmkx4x26xbtzhzvmdqt9_00000gp/T//SD22049.000000"
{txt}
{com}. tab obsType

{txt}Observation {c |}
       Type {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
    w1 only {c |}{res}        622       28.11       28.11
{txt}    w2 only {c |}{res}        274       12.38       40.49
{txt}  w1 and w2 {c |}{res}      1,317       59.51      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,213      100.00
{txt}
{com}. *note there are 3 types of observations...
. *1 = student completed wave 1 only
. *2 = student completed wave 2 only
. *3 = student completed both waves
. 
. *we will isolate our analysis to obsType==3 only
. keep if obsType==3
{txt}(896 observations deleted)

{com}. 
. 
. /// Alphas and variable construction /// 
> 
. *knowledge confidence alphas
. *reported in footnote 13
. alpha k_parties_w1 k_elections_w1 k_constitution_w1 k_laws_w1 k_branches_w1

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5457723
{txt}Number of items in the scale:{col 34}{res}        5
{txt}Scale reliability coefficient:{col 34}{res}   0.8441
{txt}
{com}. alpha k_parties_w2 k_elections_w2 k_constitution_w2 k_laws_w2 k_branches_w2

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .5088595
{txt}Number of items in the scale:{col 34}{res}        5
{txt}Scale reliability coefficient:{col 34}{res}   0.8660
{txt}
{com}. 
. *create knowledge confidence scales
. gen k_scale_w1=k_parties_w1+k_elections_w1+k_constitution_w1+k_laws_w1+k_branches_w1
{txt}(1 missing value generated)

{com}. gen k_scale_w2=k_parties_w2+k_elections_w2+k_constitution_w2+k_laws_w2+k_branches_w2
{txt}(3 missing values generated)

{com}. 
. *put knowledge confience on a 0-5 scale for comparability
. gen k_scale_w1a = (k_scale_w1/20)*5
{txt}(1 missing value generated)

{com}. gen k_scale_w2a = (k_scale_w2/20)*5
{txt}(3 missing values generated)

{com}. 
. *label the variables
. label variable k_scale_w1a "Knowldege Confidence w1 0/5"
{txt}
{com}. label variable k_scale_w2a "Knowldege Confidence w2 0/5"
{txt}
{com}. 
. *create delta variable for knowledge confidence
. gen delta_ka = k_scale_w2a - k_scale_w1a
{txt}(4 missing values generated)

{com}. label var delta_ka "Change in Knowl. Conf."
{txt}
{com}. 
. *objective knowledge alphas
. *start with tetrachoric correlations
. tetrachoric ok_parties_w1_correct ok_laws_w1_correct ok_branches_w1_correct ok_constitution_w1_correct ok_elections_w1_correct
{res}{txt}(obs=1,317)

{ralign 12:} {c |} ok_par.. ok_law.. ok_bra.. ok_con.. ok_ele..
{hline 13}{c +}{hline 45}
ok_parties.. {c |} {res}  1.0000 
{txt}ok_laws_w1~t {c |} {res}  0.1190   1.0000 
{txt}ok_branche.. {c |} {res}  0.2747   0.2148   1.0000 
{txt}ok_constit.. {c |} {res}  0.2668   0.2593   0.1276   1.0000 
{txt}ok_electio.. {c |} {res}  0.0912   0.1236   0.1293   0.1321   1.0000 
{txt}
{com}. tetrachoric ok_parties_w2_correct ok_laws_w2_correct ok_branches_w2_correct ok_constitution_w2_correct ok_elections_w2_correct 
{res}{txt}(obs=1,317)

{ralign 12:} {c |} ok_par.. ok_law.. ok_bra.. ok_con.. ok_ele..
{hline 13}{c +}{hline 45}
ok_parties.. {c |} {res}  1.0000 
{txt}ok_laws_w2~t {c |} {res}  0.1693   1.0000 
{txt}ok_branche.. {c |} {res}  0.1631   0.1701   1.0000 
{txt}ok_constit.. {c |} {res}  0.4646   0.4038   0.2855   1.0000 
{txt}ok_electio.. {c |} {res}  0.2043   0.1114   0.1334   0.2902   1.0000 
{txt}
{com}. 
. * We then entered correlation table into Excel spreadsheet and calculated
. * alpha using formula
. * (k x average correlation) divided by (1 + average correlation * k-1)
. * where k = number of items (5)
. * this spreadsheet is provided with data files
. 
. *factor analysis to verify fit
. *factor scores reported in Part E of Online Supplemental Material
. factor ok_parties_w1_correct ok_laws_w1_correct ok_branches_w1_correct ok_constitution_w1_correct ok_elections_w1_correct 
{txt}(obs=1,317)

Factor analysis/correlation{col 50}Number of obs    = {res}     1,317
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       5

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      0.38644      0.39332            2.6482       2.6482
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.00688      0.01222           -0.0472       2.6010
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.01910      0.03446           -0.1309       2.4701
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.05356      0.10741           -0.3670       2.1031
{txt}{col 5}{ralign 11:Factor5}  {c |}{res}     -0.16097            .           -1.1031       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}10{txt}) ={res}  102.84{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:ok_parties..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2901}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9158}}}{space 1}
{space 4}{space 0}{ralign 12:ok_laws_w1~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2967}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9119}}}{space 1}
{space 4}{space 0}{ralign 12:ok_branche..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3139}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9014}}}{space 1}
{space 4}{space 0}{ralign 12:ok_constit..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2727}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9257}}}{space 1}
{space 4}{space 0}{ralign 12:ok_electio..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2033}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9587}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. factor ok_parties_w2_correct ok_laws_w2_correct ok_branches_w2_correct ok_constitution_w2_correct ok_elections_w2_correct
{txt}(obs=1,317)

Factor analysis/correlation{col 50}Number of obs    = {res}     1,317
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       5

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      0.52977      0.54262            2.2142       2.2142
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.01286      0.01791           -0.0537       2.1604
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.03077      0.03917           -0.1286       2.0318
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.06994      0.10700           -0.2923       1.7395
{txt}{col 5}{ralign 11:Factor5}  {c |}{res}     -0.17694            .           -0.7395       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}10{txt}) ={res}  174.54{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:ok_parties..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3398}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.8845}}}{space 1}
{space 4}{space 0}{ralign 12:ok_laws_w2~t}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.3038}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9077}}}{space 1}
{space 4}{space 0}{ralign 12:ok_branche..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2572}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9338}}}{space 1}
{space 4}{space 0}{ralign 12:ok_constit..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4390}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.8073}}}{space 1}
{space 4}{space 0}{ralign 12:ok_electio..}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2512}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9369}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}. 
. *create objective knowledge scales
. gen ok_correct_w1 = ok_parties_w1_correct + ok_laws_w1_correct + ok_branches_w1_correct + ok_constitution_w1_correct + ok_elections_w1_correct
{txt}
{com}. gen ok_correct_w2 = ok_parties_w2_correct + ok_laws_w2_correct + ok_branches_w2_correct + ok_constitution_w2_correct + ok_elections_w2_correct
{txt}
{com}. label variable ok_correct_w1 "Objective Knowledge: Total Correct at Beginning of Semester"
{txt}
{com}. label variable ok_correct_w2 "Objective Knowledge: Total Correct at End of Semester"
{txt}
{com}. 
. *generate a collapsed version of wave 1 objective knowledge due to few responses on low end of scale
. * 0 = 0, 1, or 2 objective Qs correct
. * 1 = 3 Qs correct
. * 2 = 4 Qs correct
. * 3 = 5 Qs correct
. gen ok_w1_3 = 0 if ok_correct_w1 <= 2
{txt}(1,147 missing values generated)

{com}. recode ok_w1_3 . = 1 if ok_correct_w1 == 3
{txt}(327 changes made to {bf:ok_w1_3})

{com}. recode ok_w1_3 . = 2 if ok_correct_w1 == 4
{txt}(494 changes made to {bf:ok_w1_3})

{com}. recode ok_w1_3 . = 3 if ok_correct_w1 == 5
{txt}(326 changes made to {bf:ok_w1_3})

{com}. label define ok_w1 0 "≤2/5 Qs Correct" 1 "3/5 Qs Correct" 2 "4/5 Qs Correct" 3 "5/5 Qs Correct" 
{txt}
{com}. label values ok_w1_3 ok_w1
{txt}
{com}. 
. *create delta var for objective knowledge
. gen delta_ok = ok_correct_w2 - ok_correct_w1
{txt}
{com}. label var delta_ok "Change in Obj. Knowl."
{txt}
{com}. 
. * gen directional gap between subjective and objective knowledge 
.         * (subjective - objective), using 0-5 dummy scale for both
. gen subjObj_gap_w1_5 = k_scale_w1a - ok_correct_w1
{txt}(1 missing value generated)

{com}. gen subjObj_gap_w2_5 = k_scale_w2a - ok_correct_w2
{txt}(3 missing values generated)

{com}. label variable subjObj_gap_w1_5 "Directional Confidence Gap w1"
{txt}
{com}. label variable subjObj_gap_w2_5 "Directional Confidence Gap w2"
{txt}
{com}. 
. * gen absolute gap between subjective and objective knowledge
. gen abs_subjObj_gap_w1_5 = abs(subjObj_gap_w1_5)
{txt}(1 missing value generated)

{com}. gen abs_subjObj_gap_w2_5 = abs(subjObj_gap_w2_5)
{txt}(3 missing values generated)

{com}. label variable abs_subjObj_gap_w1_5 "Absolute Confidence Gap w1"
{txt}
{com}. label variable abs_subjObj_gap_w2_5 "Absolute Confidence Gap w2"
{txt}
{com}. 
. *create indicator for overconfidence
. gen overconfident = 1 if subjObj_gap_w1_5 >0
{txt}(1,083 missing values generated)

{com}. recode overconfident . = 0 if subjObj_gap_w1_5<=0
{txt}(1083 changes made to {bf:overconfident})

{com}. label define overconflabel 0 "Underconf." 1 "Overconf."
{txt}
{com}. label values overconfident overconflabel
{txt}
{com}. 
. 
. /// Descriptive Statistics for Dataset /// 
> *provides N respondents by section
. tab crn_final

    {txt}Section {c |}
     Number {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         35        2.66        2.66
{txt}          2 {c |}{res}         58        4.40        7.06
{txt}          3 {c |}{res}         35        2.66        9.72
{txt}          4 {c |}{res}         22        1.67       11.39
{txt}          5 {c |}{res}         44        3.34       14.73
{txt}          6 {c |}{res}         48        3.64       18.38
{txt}          7 {c |}{res}         55        4.18       22.55
{txt}          8 {c |}{res}         32        2.43       24.98
{txt}          9 {c |}{res}         16        1.21       26.20
{txt}         10 {c |}{res}         68        5.16       31.36
{txt}         11 {c |}{res}         24        1.82       33.18
{txt}         12 {c |}{res}         15        1.14       34.32
{txt}         13 {c |}{res}        182       13.82       48.14
{txt}         14 {c |}{res}        127        9.64       57.78
{txt}         15 {c |}{res}        107        8.12       65.91
{txt}         16 {c |}{res}        207       15.72       81.62
{txt}         17 {c |}{res}         22        1.67       83.30
{txt}         18 {c |}{res}         23        1.75       85.04
{txt}         19 {c |}{res}         27        2.05       87.09
{txt}         20 {c |}{res}         13        0.99       88.08
{txt}         21 {c |}{res}         65        4.94       93.01
{txt}         22 {c |}{res}         21        1.59       94.61
{txt}         23 {c |}{res}         13        0.99       95.60
{txt}         24 {c |}{res}         58        4.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,317      100.00
{txt}
{com}. *provides demographics of respondents
. tab female 

     {txt}Female {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        526       40.37       40.37
{txt}        Yes {c |}{res}        777       59.63      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,303      100.00
{txt}
{com}. tab minority 

   {txt}Minority {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
         No {c |}{res}        897       68.21       68.21
{txt}        Yes {c |}{res}        418       31.79      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,315      100.00
{txt}
{com}. tab year_w1 

      {txt}Class {c |}
   Standing {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
High school {c |}{res}         73        5.54        5.54
{txt}   Freshman {c |}{res}        939       71.30       76.84
{txt}  Sophomore {c |}{res}        212       16.10       92.94
{txt}     Junior {c |}{res}         66        5.01       97.95
{txt}     Senior {c |}{res}         27        2.05      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,317      100.00
{txt}
{com}. tab major_w1 

                    {txt}Major Type {c |}      Freq.     Percent        Cum.
{hline 31}{c +}{hline 35}
                      Poli Sci {c |}{res}         28        2.25        2.25
{txt}Non-Poli Sci Arts and Sciences {c |}{res}        351       28.26       30.52
{txt}         Non-Arts and Sciences {c |}{res}        752       60.55       91.06
{txt}                     Undecided {c |}{res}        111        8.94      100.00
{txt}{hline 31}{c +}{hline 35}
                         Total {c |}{res}      1,242      100.00
{txt}
{com}. *provides distribution of objective knowledge at start of semester
. tab ok_w1_3 

        {txt}ok_w1_3 {c |}      Freq.     Percent        Cum.
{hline 16}{c +}{hline 35}
≤2/5 Qs Correct {c |}{res}        170       12.91       12.91
{txt} 3/5 Qs Correct {c |}{res}        327       24.83       37.74
{txt} 4/5 Qs Correct {c |}{res}        494       37.51       75.25
{txt} 5/5 Qs Correct {c |}{res}        326       24.75      100.00
{txt}{hline 16}{c +}{hline 35}
          Total {c |}{res}      1,317      100.00
{txt}
{com}. 
. 
. /// Analysis ///
> 
. *compare objective knowledge at w1 and w2
. *reported in Figure 1
. ttest ok_correct_w1 == ok_correct_w2

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}  1,317{col 22} 3.700835{col 34} .0293612{col 46} 1.065531{col 58} 3.643235{col 70} 3.758435
{txt}ok_cor~2 {c |}{res}{col 12}  1,317{col 22} 3.889901{col 34} .0284926{col 46}  1.03401{col 58} 3.834005{col 70} 3.945797
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22}-.1890661{col 34} .0313548{col 46} 1.137881{col 58}-.2505769{col 70}-.1275552
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res} -6.0299
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *compare objective knowledge at w1 and w2 by starting level of obj. knowl.
. *reported in Figure 3
. by ok_w1_3, sort : ttest ok_correct_w1 == ok_correct_w2

{txt}{hline}
-> ok_w1_3 = ≤2/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}    170{col 22} 1.688235{col 34} .0419157{col 46} .5465138{col 58}  1.60549{col 70} 1.770981
{txt}ok_cor~2 {c |}{res}{col 12}    170{col 22} 3.152941{col 34} .0936597{col 46} 1.221173{col 58} 2.968048{col 70} 3.337835
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    170{col 22}-1.464706{col 34} .0940796{col 46} 1.226648{col 58}-1.650428{col 70}-1.278983
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res}-15.5688
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     169

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 3/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}    327{col 22}        3{col 34}        0{col 46}        0{col 58}        3{col 70}        3
{txt}ok_cor~2 {c |}{res}{col 12}    327{col 22} 3.504587{col 34} .0577678{col 46} 1.044623{col 58} 3.390943{col 70} 3.618232
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    327{col 22}-.5045872{col 34} .0577678{col 46} 1.044623{col 58}-.6182318{col 70}-.3909425
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res} -8.7348
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     326

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 4/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}    494{col 22}        4{col 34}        0{col 46}        0{col 58}        4{col 70}        4
{txt}ok_cor~2 {c |}{res}{col 12}    494{col 22} 4.076923{col 34} .0383978{col 46} .8534347{col 58} 4.001479{col 70} 4.152367
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    494{col 22}-.0769231{col 34} .0383978{col 46} .8534347{col 58}-.1523667{col 70}-.0014795
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res} -2.0033
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     493

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0228         {txt}Pr(|T| > |t|) = {res}0.0457          {txt}Pr(T > t) = {res}0.9772

{txt}{hline}
-> ok_w1_3 = 5/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}    326{col 22}        5{col 34}        0{col 46}        0{col 58}        5{col 70}        5
{txt}ok_cor~2 {c |}{res}{col 12}    326{col 22} 4.377301{col 34} .0439434{col 46} .7934191{col 58} 4.290851{col 70}  4.46375
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    326{col 22} .6226994{col 34} .0439434{col 46} .7934191{col 58} .5362499{col 70} .7091488
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res} 14.1705
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     325

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *compare knowledge confidence w1 and w2
. *reported in Figure 1
. ttest k_scale_w1a == k_scale_w2a

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}  1,313{col 22}  2.66032{col 34} .0277717{col 46} 1.006317{col 58} 2.605838{col 70} 2.714802
{txt}k_sca~2a {c |}{res}{col 12}  1,313{col 22} 3.256093{col 34} .0264544{col 46} .9585846{col 58} 3.204195{col 70}  3.30799
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,313{col 22} -.595773{col 34} .0238395{col 46} .8638307{col 58}-.6425407{col 70}-.5490054
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-24.9911
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1312

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *compare knowledge conf. at w1 and w2 by starting level of obj. knowl.
. *reported in Figure 3
. by ok_w1_3, sort : ttest k_scale_w1a == k_scale_w2a

{txt}{hline}
-> ok_w1_3 = ≤2/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}    168{col 22} 2.236607{col 34} .0773322{col 46}  1.00234{col 58} 2.083932{col 70} 2.389282
{txt}k_sca~2a {c |}{res}{col 12}    168{col 22}  3.03869{col 34} .0740274{col 46}  .959505{col 58}  2.89254{col 70} 3.184841
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    168{col 22}-.8020833{col 34} .0716376{col 46} .9285291{col 58}-.9435153{col 70}-.6606513
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-11.1964
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     167

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 3/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}    327{col 22} 2.455657{col 34} .0549156{col 46} .9930464{col 58} 2.347624{col 70} 2.563691
{txt}k_sca~2a {c |}{res}{col 12}    327{col 22} 3.101682{col 34} .0555482{col 46} 1.004486{col 58} 2.992404{col 70}  3.21096
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    327{col 22}-.6460245{col 34} .0531564{col 46} .9612346{col 58}-.7505973{col 70}-.5414516
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-12.1533
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     326

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 4/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}    493{col 22} 2.751521{col 34} .0445574{col 46} .9893348{col 58} 2.663975{col 70} 2.839068
{txt}k_sca~2a {c |}{res}{col 12}    493{col 22} 3.281947{col 34} .0425033{col 46} .9437259{col 58} 3.198437{col 70} 3.365458
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    493{col 22} -.530426{col 34} .0366422{col 46} .8135896{col 58}-.6024205{col 70}-.4584314
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-14.4758
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     492

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 5/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}    325{col 22} 2.946923{col 34} .0518551{col 46} .9348317{col 58} 2.844908{col 70} 3.048938
{txt}k_sca~2a {c |}{res}{col 12}    325{col 22} 3.484615{col 34} .0488882{col 46} .8813449{col 58} 3.388437{col 70} 3.580794
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    325{col 22}-.5376923{col 34} .0432506{col 46} .7797114{col 58}-.6227798{col 70}-.4526048
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-12.4320
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     324

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *create Figure 1 Showing Objective Knowledge and Confidence at both waves
. *first create bar graph of objective knowledge
. graph bar (mean) ok_correct_w1 (mean) ok_correct_w2 if obsType==3, legend(order(1 "Wave 1" 2  "Wave 2")) scheme(sj) graphregion(fcolor(white) lcolor(white)) title(Objective Knowledge)
{res}{txt}
{com}. 
. *then save but replace location below with a path to your working directory and/or unique file name to be created in your working directory
. graph save "Graph" "Objective.gph", replace
{res}{txt}file {bf:Objective.gph} saved

{com}. 
. *next create bar graph of knowledge confidence
. graph bar (mean) k_scale_w1a (mean) k_scale_w2a if obsType==3, ylabel(, gmax) legend(order(1 "Wave 1" 2  "Wave 2")) scheme(sj) graphregion(fcolor(white) lcolor(white)) title(Knowledge Confidence) 
{res}{txt}
{com}. 
. *then save but replace location below with a path to your working directory and/or unique file name to be created in your working directory
. graph save "Graph" "Confidence.gph", replace
{res}{txt}file {bf:Confidence.gph} saved

{com}. 
. *finally combine into single graph replicating Figure 1
. graph combine "Objective.gph" "Confidence.gph", graphregion(fcolor(white) lcolor(white)) plotregion(lcolor(white))
{res}{txt}
{com}. 
. *changes in directional subjective-objective gap
. *first, aggregate comparison testing whether directional gap closes between waves
. ttest subjObj_gap_w1_5 == subjObj_gap_w2_5

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}  1,313{col 22} -1.04265{col 34} .0354162{col 46} 1.283317{col 58}-1.112129{col 70}-.9731719
{txt}subj~2_5 {c |}{res}{col 12}  1,313{col 22} -.637281{col 34} .0354997{col 46} 1.286344{col 58}-.7069234{col 70}-.5676386
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,313{col 22}-.4053694{col 34} .0373746{col 46}  1.35428{col 58}-.4786898{col 70} -.332049
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res}-10.8461
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1312

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *create Figure 2 showing aggregate comparison of subj-obj gap between the two waves
. *first create absolute gap graph
. graph bar (mean) abs_subjObj_gap_w1_5 (mean) abs_subjObj_gap_w2_5 if obsType==3, legend(order(1 "Wave 1" 2  "Wave 2")) scheme(sj) graphregion(fcolor(white) lcolor(white)) title(Absolute Confidence Gap)
{res}{txt}
{com}. 
. *then save but replace location below with a path to your working directory and/or unique file name to be created in your working directory
. graph save "Graph" "AbsoluteGap.gph", replace
{res}{txt}file {bf:AbsoluteGap.gph} saved

{com}. 
. *next create direction gap graph
. graph bar (mean) subjObj_gap_w1_5 (mean) subjObj_gap_w2_5 if obsType==3, legend(order(1 "Wave 1" 2  "Wave 2")) scheme(sj) graphregion(fcolor(white) lcolor(white)) title(Directional Confidence Gap)
{res}{txt}
{com}. 
. *then save but replace location below with a path to your working directory and/or unique file name to be created in your working directory
. graph save "Graph" "DirectionalGap.gph", replace
{res}{txt}file {bf:DirectionalGap.gph} saved

{com}. 
. *finally combine to replicate Figure 2
. graph combine "AbsoluteGap.gph" "DirectionalGap.gph", graphregion(fcolor(white) lcolor(white)) plotregion(lcolor(white))
{res}{txt}
{com}. 
. *create Figure 3 Comparing objective know and know conf for each wave by w1 objective knowledge
. graph bar (mean) ok_correct_w1 (mean) ok_correct_w2 (mean) k_scale_w1a (mean) k_scale_w2a if obsType==3, legend(order(1 "Wave 1 Obj. Knowledge" 2  "Wave 2 Obj. Knowledge" 3 "Wave 1 Knowledge Conf." 4 "Wave 2 Knowledge Conf.") rows(2)) scheme(sj) by(, note("") graphregion(fcolor(white) lcolor(white))) by(ok_w1_3) 
{res}{txt}
{com}.         
. *compare avg change in obj and change in subj across collapsed levels of w1 obj
. by ok_w1_3, sort : ttest delta_ka == delta_ok

{txt}{hline}
-> ok_w1_3 = ≤2/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
delta_ka {c |}{res}{col 12}    168{col 22} .8020833{col 34} .0716376{col 46} .9285291{col 58} .6606513{col 70} .9435153
{txt}delta_ok {c |}{res}{col 12}    168{col 22} 1.470238{col 34} .0916867{col 46} 1.188395{col 58} 1.289224{col 70} 1.651252
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    168{col 22}-.6681548{col 34} .1135216{col 46} 1.471408{col 58}-.8922772{col 70}-.4440323
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}delta_ka{txt} - {res}delta_ok{txt})                       t = {res} -5.8857
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     167

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 3/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
delta_ka {c |}{res}{col 12}    327{col 22} .6460245{col 34} .0531564{col 46} .9612346{col 58} .5414516{col 70} .7505973
{txt}delta_ok {c |}{res}{col 12}    327{col 22} .5045872{col 34} .0577678{col 46} 1.044623{col 58} .3909425{col 70} .6182318
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    327{col 22} .1414373{col 34} .0738346{col 46} 1.335162{col 58}-.0038151{col 70} .2866897
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}delta_ka{txt} - {res}delta_ok{txt})                       t = {res}  1.9156
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     326

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.9719         {txt}Pr(|T| > |t|) = {res}0.0563          {txt}Pr(T > t) = {res}0.0281

{txt}{hline}
-> ok_w1_3 = 4/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
delta_ka {c |}{res}{col 12}    493{col 22}  .530426{col 34} .0366422{col 46} .8135896{col 58} .4584314{col 70} .6024205
{txt}delta_ok {c |}{res}{col 12}    493{col 22} .0770791{col 34} .0384755{col 46} .8542945{col 58} .0014826{col 70} .1526756
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    493{col 22} .4533469{col 34} .0538187{col 46} 1.194969{col 58}  .347604{col 70} .5590897
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}delta_ka{txt} - {res}delta_ok{txt})                       t = {res}  8.4236
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     492

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000

{txt}{hline}
-> ok_w1_3 = 5/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
delta_ka {c |}{res}{col 12}    325{col 22} .5376923{col 34} .0432506{col 46} .7797114{col 58} .4526048{col 70} .6227798
{txt}delta_ok {c |}{res}{col 12}    325{col 22}-.6153846{col 34} .0434639{col 46} .7835561{col 58}-.7008916{col 70}-.5298776
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    325{col 22} 1.153077{col 34} .0586183{col 46} 1.056757{col 58} 1.037756{col 70} 1.268397
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}delta_ka{txt} - {res}delta_ok{txt})                       t = {res} 19.6709
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     324

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *compare avg change in obj for those in low vs. high collapsed levels of w1 obj
. ttest delta_ok if obsType==3 & ok_w1_3==0 | ok_w1_3==3, by(ok_w1_3)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
 ≤2/5 Qs {c |}{res}{col 12}    170{col 22} 1.464706{col 34} .0940796{col 46} 1.226648{col 58} 1.278983{col 70} 1.650428
{txt}5/5 Qs C {c |}{res}{col 12}    326{col 22}-.6226994{col 34} .0439434{col 46} .7934191{col 58}-.7091488{col 70}-.5362499
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    496{col 22} .0927419{col 34} .0620642{col 46} 1.382235{col 58}-.0291998{col 70} .2146837
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 2.087405{col 34} .0911788{col 58} 1.908259{col 70} 2.266551
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}≤2/5 Qs{txt}) - mean({res}5/5 Qs C{txt})                         t = {res} 22.8935
{txt}H0: diff = 0                                     Degrees of freedom = {res}     494

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *compare avg change in subj for those in low vs. high collapsed levels of w1 obj
. ttest delta_ka if obsType==3 & ok_w1_3==0 | ok_w1_3==3, by(ok_w1_3)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
 ≤2/5 Qs {c |}{res}{col 12}    168{col 22} .8020833{col 34} .0716376{col 46} .9285291{col 58} .6606513{col 70} .9435153
{txt}5/5 Qs C {c |}{res}{col 12}    325{col 22} .5376923{col 34} .0432506{col 46} .7797114{col 58} .4526048{col 70} .6227798
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    493{col 22}  .627789{col 34} .0379157{col 46}  .841866{col 58} .5532923{col 70} .7022858
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .264391{col 34} .0791838{col 58} .1088101{col 70}  .419972
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}≤2/5 Qs{txt}) - mean({res}5/5 Qs C{txt})                         t = {res}  3.3390
{txt}H0: diff = 0                                     Degrees of freedom = {res}     491

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9995         {txt}Pr(|T| > |t|) = {res}0.0009          {txt}Pr(T > t) = {res}0.0005
{txt}
{com}. 
. *create Figure 4 showing absolute gap by obj. knowl. at wave 1
. graph bar (mean) abs_subjObj_gap_w1_5 (mean) abs_subjObj_gap_w2_5 if obsType==3, legend(order(1 "Wave 1" 2  "Wave 2")) scheme(sj) by(, note("") graphregion(fcolor(white) lcolor(white))) by(ok_w1_3)
{res}{txt}
{com}. 
. by ok_w1_3, sort : ttest abs_subjObj_gap_w1_5 == abs_subjObj_gap_w2_5 

{txt}{hline}
-> ok_w1_3 = ≤2/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}    168{col 22} .9747024{col 34} .0617791{col 46} .8007481{col 58} .8527338{col 70} 1.096671
{txt}abs_~2_5 {c |}{res}{col 12}    168{col 22}  1.22619{col 34} .0684373{col 46} .8870484{col 58} 1.091077{col 70} 1.361304
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    168{col 22}-.2514881{col 34} .0839414{col 46} 1.088005{col 58}-.4172112{col 70} -.085765
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res} -2.9960
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     167

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0016         {txt}Pr(|T| > |t|) = {res}0.0032          {txt}Pr(T > t) = {res}0.9984

{txt}{hline}
-> ok_w1_3 = 3/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}    327{col 22} .8853211{col 34} .0389919{col 46} .7050966{col 58} .8086135{col 70} .9620287
{txt}abs_~2_5 {c |}{res}{col 12}    327{col 22}  1.12156{col 34}  .046397{col 46} .8390041{col 58} 1.030284{col 70} 1.212835
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    327{col 22}-.2362385{col 34} .0535715{col 46} .9687416{col 58}-.3416281{col 70} -.130849
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res} -4.4098
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     326

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 4/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}    493{col 22} 1.362069{col 34}  .037184{col 46} .8256196{col 58}  1.28901{col 70} 1.435128
{txt}abs_~2_5 {c |}{res}{col 12}    493{col 22} 1.193712{col 34} .0381151{col 46} .8462921{col 58} 1.118824{col 70}   1.2686
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    493{col 22}  .168357{col 34} .0424046{col 46} .9415341{col 58} .0850406{col 70} .2516734
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res}  3.9703
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     492

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0001          {txt}Pr(T > t) = {res}0.0000

{txt}{hline}
-> ok_w1_3 = 5/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}    325{col 22} 2.053077{col 34} .0518551{col 46} .9348317{col 58} 1.951062{col 70} 2.155092
{txt}abs_~2_5 {c |}{res}{col 12}    325{col 22} 1.118462{col 34} .0454939{col 46} .8201536{col 58} 1.028961{col 70} 1.207962
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    325{col 22} .9346154{col 34} .0530009{col 46} .9554878{col 58}  .830346{col 70} 1.038885
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res} 17.6339
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     324

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *also can compare change in subj-obj gap by collapsed levels of w1 obj  
. *create change in gap variable
. gen delta_abs_subjObj_gap_5 = abs_subjObj_gap_w1_5-abs_subjObj_gap_w2_5
{txt}(4 missing values generated)

{com}. label variable delta_abs_subjObj_gap_5 "Change in Abs. Confidence Gap w1-w2"
{txt}
{com}. *then t-tests
. ttest delta_abs_subjObj_gap_5 if obsType==3 & ok_w1_3==0 | ok_w1_3==3, by(ok_w1_3)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
 ≤2/5 Qs {c |}{res}{col 12}    168{col 22}-.2514881{col 34} .0839414{col 46} 1.088005{col 58}-.4172112{col 70} -.085765
{txt}5/5 Qs C {c |}{res}{col 12}    325{col 22} .9346154{col 34} .0530009{col 46} .9554878{col 58}  .830346{col 70} 1.038885
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    493{col 22}  .530426{col 34} .0517386{col 46} 1.148783{col 58} .4287701{col 70} .6320818
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.186103{col 34} .0952628{col 58}-1.373277{col 70}-.9989304
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}≤2/5 Qs{txt}) - mean({res}5/5 Qs C{txt})                         t = {res}-12.4509
{txt}H0: diff = 0                                     Degrees of freedom = {res}     491

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest delta_abs_subjObj_gap_5 if obsType==3 & ok_w1_3==1 | ok_w1_3==3, by(ok_w1_3)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
3/5 Qs C {c |}{res}{col 12}    327{col 22}-.2362385{col 34} .0535715{col 46} .9687416{col 58}-.3416281{col 70} -.130849
{txt}5/5 Qs C {c |}{res}{col 12}    325{col 22} .9346154{col 34} .0530009{col 46} .9554878{col 58}  .830346{col 70} 1.038885
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    652{col 22} .3473926{col 34} .0440923{col 46} 1.125866{col 58} .2608123{col 70} .4339729
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.170854{col 34} .0753624{col 58}-1.318837{col 70}-1.022871
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}3/5 Qs C{txt}) - mean({res}5/5 Qs C{txt})                        t = {res}-15.5363
{txt}H0: diff = 0                                     Degrees of freedom = {res}     650

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest delta_abs_subjObj_gap_5 if obsType==3 & ok_w1_3==2 | ok_w1_3==3, by(ok_w1_3)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
4/5 Qs C {c |}{res}{col 12}    493{col 22}  .168357{col 34} .0424046{col 46} .9415341{col 58} .0850406{col 70} .2516734
{txt}5/5 Qs C {c |}{res}{col 12}    325{col 22} .9346154{col 34} .0530009{col 46} .9554878{col 58}  .830346{col 70} 1.038885
{txt}{hline 9}{c +}{hline 68}
Combined {c |}{res}{col 12}    818{col 22} .4727995{col 34} .0355994{col 46} 1.018169{col 58} .4029224{col 70} .5426766
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.7662584{col 34} .0676717{col 58}-.8990895{col 70}-.6334273
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}4/5 Qs C{txt}) - mean({res}5/5 Qs C{txt})                        t = {res}-11.3232
{txt}H0: diff = 0                                     Degrees of freedom = {res}     816

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *create Figure 5 showing directional subj-obj gap by obj. knowl. at wave 1
. graph bar (mean) subjObj_gap_w1_5 (mean) subjObj_gap_w2_5 if obsType==3, legend(order(1 "Wave 1" 2  "Wave 2")) scheme(sj) by(, note("") graphregion(fcolor(white) lcolor(white))) by(ok_w1_3)
{res}{txt}
{com}. 
. *compare subj-obj gap across collapsed levels of w1 obj
. by ok_w1_3, sort : ttest subjObj_gap_w1_5 == subjObj_gap_w2_5 

{txt}{hline}
-> ok_w1_3 = ≤2/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}    168{col 22}  .546131{col 34}  .087861{col 46} 1.138809{col 58} .3726695{col 70} .7195924
{txt}subj~2_5 {c |}{res}{col 12}    168{col 22}-.1220238{col 34} .1166094{col 46} 1.511431{col 58}-.3522424{col 70} .1081947
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    168{col 22} .6681548{col 34} .1135216{col 46} 1.471408{col 58} .4440323{col 70} .8922772
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res}  5.8857
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     167

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000

{txt}{hline}
-> ok_w1_3 = 3/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}    327{col 22}-.5443425{col 34} .0549156{col 46} .9930464{col 58}-.6523762{col 70}-.4363088
{txt}subj~2_5 {c |}{res}{col 12}    327{col 22}-.4029052{col 34} .0742517{col 46} 1.342703{col 58}-.5489781{col 70}-.2568323
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    327{col 22}-.1414373{col 34} .0738346{col 46} 1.335162{col 58}-.2866897{col 70} .0038151
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res} -1.9156
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     326

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0281         {txt}Pr(|T| > |t|) = {res}0.0563          {txt}Pr(T > t) = {res}0.9719

{txt}{hline}
-> ok_w1_3 = 4/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}    493{col 22}-1.248479{col 34} .0445574{col 46} .9893348{col 58}-1.336025{col 70}-1.160932
{txt}subj~2_5 {c |}{res}{col 12}    493{col 22}-.7951318{col 34} .0553531{col 46} 1.229038{col 58}-.9038895{col 70}-.6863742
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    493{col 22}-.4533469{col 34} .0538187{col 46} 1.194969{col 58}-.5590897{col 70} -.347604
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res} -8.4236
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     492

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> ok_w1_3 = 5/5 Qs Correct

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}    325{col 22}-2.053077{col 34} .0518551{col 46} .9348317{col 58}-2.155092{col 70}-1.951062
{txt}subj~2_5 {c |}{res}{col 12}    325{col 22}      -.9{col 34}  .058572{col 46} 1.055921{col 58}-1.015229{col 70}-.7847706
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    325{col 22}-1.153077{col 34} .0586183{col 46} 1.056757{col 58}-1.268397{col 70}-1.037756
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res}-19.6709
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     324

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. * A closer look at those with the lowest level of objective knowledge
. * We track how many move from being overconfident to being underconfident or calibrated
. gen overconfident_w2 = 0 
{txt}
{com}. replace overconfident_w2 = 1 if subjObj_gap_w2_5 <= 0 
{txt}(996 real changes made)

{com}. label values overconfident_w2 overconflabel
{txt}
{com}. tab overconfident overconfident_w2 if ok_w1_3==0

{txt}overconfid {c |}   overconfident_w2
       ent {c |} Underconf  Overconf. {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
Underconf. {c |}{res}        15         46 {txt}{c |}{res}        61 
{txt} Overconf. {c |}{res}        56         53 {txt}{c |}{res}       109 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}        71         99 {txt}{c |}{res}       170 
{txt}
{com}. 
. *For footnote 14 re: relatively high political knowledge in wave 1
. sum ok_elections_w1_correct ok_laws_w1_correct ok_branches_w1_correct ///
>         ok_parties_w1_correct ok_constitution_w1_correct

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
ok_electio.. {c |}{res}      1,317    .5018983    .5001863          0          1
{txt}ok_laws_w1~t {c |}{res}      1,317    .6788155    .4671089          0          1
{txt}ok_branche.. {c |}{res}      1,317     .738041    .4398675          0          1
{txt}ok_parties.. {c |}{res}      1,317    .8663629    .3403912          0          1
{txt}ok_constit.. {c |}{res}      1,317    .9157175    .2779165          0          1
{txt}
{com}. 
.         
. // Appendix Figures and Models //
. 
. **Part B: Distribution of Objective Knowledge at Wave 1 and Wave 2**
. 
. *Figure A1
. histogram ok_correct_w1 if obsType==3, discrete fraction scheme(sj) graphregion(fcolor(white) lcolor(white)) ytitle("Proportion of Observations")
{txt}(start={res}0{txt}, width={res}1{txt})
{res}{txt}
{com}. histogram ok_correct_w2 if obsType==3, discrete fraction scheme(sj) graphregion(fcolor(white) lcolor(white)) ytitle("Proportion of Observations")
{txt}(start={res}0{txt}, width={res}1{txt})
{res}{txt}
{com}. 
. **Part C: Relationship between Objective Knowledge and Knowledge Confidence by Item**
. 
. *Figure A2
. *note additional editing done in Graph Editor to fix labels and set colors
. graph bar (mean) k_parties_w1 (mean) k_laws_w1 (mean) k_branches_w1 (mean) k_constitution_w1 (mean) k_elections_w1, scheme(sj)
{res}{txt}
{com}. graph bar (mean) k_parties_w2 (mean) k_laws_w2 (mean) k_branches_w2 (mean) k_constitution_w2 (mean) k_elections_w2, scheme(sj)
{res}{txt}
{com}.         
. *Figure A3
. graph bar (mean) ok_parties_w2_correct  (mean) ok_laws_w2_correct  (mean) ok_branches_w2_correct  (mean) ok_constitution_w2_correct  (mean) ok_elections_w2_correct, scheme(sj)  
{res}{txt}
{com}. graph bar (mean) ok_parties_w1_correct  (mean) ok_laws_w1_correct (mean) ok_branches_w1_correct  (mean) ok_constitution_w1_correct   (mean) ok_elections_w1_correct, scheme(sj)
{res}{txt}
{com}. 
. *Table A1a-j 
. *distribution of knowledge confidence by objective knowledge for each item
. *row percentages and chi-squared statistic included
. *non-random distribution of knowledge confidence (higher for those who got it correct) 
. *for all items except elections
. tab ok_parties_w1_correct k_parties_w1 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
     Party {c |}
   Control {c |}  Confidence in Describing Party
   Correct {c |}       Differences (After)
  (Before) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        43         44         65 {txt}{c |}{res}       176 
           {txt}{c |}{res}     24.43      25.00      36.93 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        74        188        448 {txt}{c |}{res}     1,140 
           {txt}{c |}{res}      6.49      16.49      39.30 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}       117        232        513 {txt}{c |}{res}     1,316 
           {txt}{c |}{res}      8.89      17.63      38.98 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
     Party {c |}     Confidence in
   Control {c |}   Describing Party
   Correct {c |}  Differences (After)
  (Before) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        20          4 {txt}{c |}{res}       176 
           {txt}{c |}{res}     11.36       2.27 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       250        180 {txt}{c |}{res}     1,140 
           {txt}{c |}{res}     21.93      15.79 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       270        184 {txt}{c |}{res}     1,316 
           {txt}{c |}{res}     20.52      13.98 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 89.8949  {txt} Pr = {res}0.000
{txt}
{com}. tab ok_parties_w2_correct k_parties_w2 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
     Party {c |}
   Control {c |}   Confidence in Understanding
   Correct {c |}         Parties (After)
   (After) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}         9         24         62 {txt}{c |}{res}       139 
           {txt}{c |}{res}      6.47      17.27      44.60 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        23         81        371 {txt}{c |}{res}     1,178 
           {txt}{c |}{res}      1.95       6.88      31.49 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        32        105        433 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      2.43       7.97      32.88 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
     Party {c |}     Confidence in
   Control {c |} Understanding Parties
   Correct {c |}        (After)
   (After) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        25         19 {txt}{c |}{res}       139 
           {txt}{c |}{res}     17.99      13.67 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       388        315 {txt}{c |}{res}     1,178 
           {txt}{c |}{res}     32.94      26.74 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       413        334 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     31.36      25.36 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 51.0389  {txt} Pr = {res}0.000
{txt}
{com}. tab ok_elections_w1_correct k_elections_w1 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
 Electoral {c |}
   College {c |}   Confidence in Understanding
   Correct {c |}        Elections (Before)
  (Before) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        35        102        287 {txt}{c |}{res}       656 
           {txt}{c |}{res}      5.34      15.55      43.75 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        30         97        257 {txt}{c |}{res}       661 
           {txt}{c |}{res}      4.54      14.67      38.88 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        65        199        544 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      4.94      15.11      41.31 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
 Electoral {c |}     Confidence in
   College {c |}     Understanding
   Correct {c |}  Elections (Before)
  (Before) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}       170         62 {txt}{c |}{res}       656 
           {txt}{c |}{res}     25.91       9.45 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       206         71 {txt}{c |}{res}       661 
           {txt}{c |}{res}     31.16      10.74 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       376        133 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     28.55      10.10 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}  6.2016  {txt} Pr = {res}0.185
{txt}
{com}. tab ok_elections_w2_correct k_elections_w2 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
 Electoral {c |}
   College {c |}   Confidence in Understanding
   Correct {c |}        Elections (After)
   (After) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        11         50        210 {txt}{c |}{res}       600 
           {txt}{c |}{res}      1.83       8.33      35.00 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}         7         60        221 {txt}{c |}{res}       717 
           {txt}{c |}{res}      0.98       8.37      30.82 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        18        110        431 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      1.37       8.35      32.73 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
 Electoral {c |}     Confidence in
   College {c |}     Understanding
   Correct {c |}   Elections (After)
   (After) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}       223        106 {txt}{c |}{res}       600 
           {txt}{c |}{res}     37.17      17.67 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       279        150 {txt}{c |}{res}       717 
           {txt}{c |}{res}     38.91      20.92 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       502        256 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     38.12      19.44 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}  5.5379  {txt} Pr = {res}0.236
{txt}
{com}. tab ok_branches_w2_correct k_branches_w2 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
   Supreme {c |}
     Court {c |}   Confidence in Understanding
   Correct {c |}    Division of Power (After)
   (After) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        10         34        132 {txt}{c |}{res}       345 
           {txt}{c |}{res}      2.90       9.86      38.26 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        11         58        256 {txt}{c |}{res}       972 
           {txt}{c |}{res}      1.13       5.97      26.34 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        21         92        388 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      1.59       6.99      29.46 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}     Confidence in
   Supreme {c |}     Understanding
     Court {c |}   Division of Power
   Correct {c |}        (After)
   (After) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}       106         63 {txt}{c |}{res}       345 
           {txt}{c |}{res}     30.72      18.26 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       408        239 {txt}{c |}{res}       972 
           {txt}{c |}{res}     41.98      24.59 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       514        302 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     39.03      22.93 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 35.4863  {txt} Pr = {res}0.000
{txt}
{com}. tab ok_branches_w1_correct k_branches_w1 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
   Supreme {c |}
     Court {c |}   Confidence in Understanding
   Correct {c |}    Division of Power (Before)
  (Before) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        30         67        137 {txt}{c |}{res}       345 
           {txt}{c |}{res}      8.70      19.42      39.71 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        39        135        313 {txt}{c |}{res}       972 
           {txt}{c |}{res}      4.01      13.89      32.20 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        69        202        450 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      5.24      15.34      34.17 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}     Confidence in
   Supreme {c |}     Understanding
     Court {c |}   Division of Power
   Correct {c |}       (Before)
  (Before) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        84         27 {txt}{c |}{res}       345 
           {txt}{c |}{res}     24.35       7.83 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       336        149 {txt}{c |}{res}       972 
           {txt}{c |}{res}     34.57      15.33 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       420        176 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     31.89      13.36 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 39.0062  {txt} Pr = {res}0.000
{txt}
{com}. tab ok_laws_w1_correct k_laws_w1 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
      Veto {c |}
  Override {c |}   Confidence in Understanding
   Correct {c |}       Law-Making (Before)
  (Before) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        37        123        174 {txt}{c |}{res}       423 
           {txt}{c |}{res}      8.75      29.08      41.13 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        56        201        412 {txt}{c |}{res}       894 
           {txt}{c |}{res}      6.26      22.48      46.09 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        93        324        586 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      7.06      24.60      44.50 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
      Veto {c |}     Confidence in
  Override {c |}     Understanding
   Correct {c |}  Law-Making (Before)
  (Before) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        72         17 {txt}{c |}{res}       423 
           {txt}{c |}{res}     17.02       4.02 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       163         62 {txt}{c |}{res}       894 
           {txt}{c |}{res}     18.23       6.94 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       235         79 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     17.84       6.00 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 13.4717  {txt} Pr = {res}0.009
{txt}
{com}. tab ok_laws_w2_correct k_laws_w2 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
      Veto {c |}
  Override {c |}   Confidence in Understanding
   Correct {c |}        Law-Making (After)
   (After) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}         6         39        125 {txt}{c |}{res}       285 
           {txt}{c |}{res}      2.11      13.68      43.86 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        12        112        409 {txt}{c |}{res}     1,032 
           {txt}{c |}{res}      1.16      10.85      39.63 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        18        151        534 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      1.37      11.47      40.55 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
      Veto {c |}     Confidence in
  Override {c |}     Understanding
   Correct {c |}  Law-Making (After)
   (After) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        77         38 {txt}{c |}{res}       285 
           {txt}{c |}{res}     27.02      13.33 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       360        139 {txt}{c |}{res}     1,032 
           {txt}{c |}{res}     34.88      13.47 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       437        177 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     33.18      13.44 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res}  8.1652  {txt} Pr = {res}0.086
{txt}
{com}. tab ok_constitution_w2_correct k_constitution_w2 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
       1st {c |}
 Amendment {c |} Confidence in Understanding the
   Correct {c |}       Constitution (After)
   (After) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}         5         18         34 {txt}{c |}{res}        92 
           {txt}{c |}{res}      5.43      19.57      36.96 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        27        133        456 {txt}{c |}{res}     1,222 
           {txt}{c |}{res}      2.21      10.88      37.32 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        32        151        490 {txt}{c |}{res}     1,314 
           {txt}{c |}{res}      2.44      11.49      37.29 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
       1st {c |}     Confidence in
 Amendment {c |}   Understanding the
   Correct {c |} Constitution (After)
   (After) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        21         14 {txt}{c |}{res}        92 
           {txt}{c |}{res}     22.83      15.22 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       433        173 {txt}{c |}{res}     1,222 
           {txt}{c |}{res}     35.43      14.16 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       454        187 {txt}{c |}{res}     1,314 
           {txt}{c |}{res}     34.55      14.23 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 13.2726  {txt} Pr = {res}0.010
{txt}
{com}. tab ok_constitution_w1_correct k_constitution_w1 if obsType==3, row chi2
{txt}
{c TLC}{hline 16}{c TRC}
{c |} Key{col 18}{c |}
{c LT}{hline 16}{c RT}
{c |}{space 3}{it:frequency}{col 18}{c |}
{c |}{space 1}{it:row percentage}{col 18}{c |}
{c BLC}{hline 16}{c BRC}

Knowldege: {c |}
       1st {c |}
 Amendment {c |} Confidence in Understanding the
   Correct {c |}      Constitution (Before)
  (Before) {c |} Not Confi  Slightly   Moderatel {c |}     Total
{hline 11}{c +}{hline 33}{c +}{hline 10}
        No {c |}{res}        13         30         49 {txt}{c |}{res}       111 
           {txt}{c |}{res}     11.71      27.03      44.14 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
       Yes {c |}{res}        63        247        536 {txt}{c |}{res}     1,206 
           {txt}{c |}{res}      5.22      20.48      44.44 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 33}{c +}{hline 10}
     Total {c |}{res}        76        277        585 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}      5.77      21.03      44.42 {txt}{c |}{res}    100.00 


{txt}Knowldege: {c |}
       1st {c |}     Confidence in
 Amendment {c |}   Understanding the
   Correct {c |} Constitution (Before)
  (Before) {c |} Very Conf  Extremely {c |}     Total
{hline 11}{c +}{hline 22}{c +}{hline 10}
        No {c |}{res}        12          7 {txt}{c |}{res}       111 
           {txt}{c |}{res}     10.81       6.31 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
       Yes {c |}{res}       275         85 {txt}{c |}{res}     1,206 
           {txt}{c |}{res}     22.80       7.05 {txt}{c |}{res}    100.00 
{txt}{hline 11}{c +}{hline 22}{c +}{hline 10}
     Total {c |}{res}       287         92 {txt}{c |}{res}     1,317 
           {txt}{c |}{res}     21.79       6.99 {txt}{c |}{res}    100.00 

{txt}          Pearson chi2({res}4{txt}) = {res} 16.2746  {txt} Pr = {res}0.003
{txt}
{com}. 
. **Part D: Means and Statistical Significance of Differences from Wave 1 to Wave 2**
. *Table A2       
. ttest ok_correct_w1 == ok_correct_w2

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}  1,317{col 22} 3.700835{col 34} .0293612{col 46} 1.065531{col 58} 3.643235{col 70} 3.758435
{txt}ok_cor~2 {c |}{res}{col 12}  1,317{col 22} 3.889901{col 34} .0284926{col 46}  1.03401{col 58} 3.834005{col 70} 3.945797
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22}-.1890661{col 34} .0313548{col 46} 1.137881{col 58}-.2505769{col 70}-.1275552
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res} -6.0299
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest k_scale_w1a == k_scale_w2a

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}  1,313{col 22}  2.66032{col 34} .0277717{col 46} 1.006317{col 58} 2.605838{col 70} 2.714802
{txt}k_sca~2a {c |}{res}{col 12}  1,313{col 22} 3.256093{col 34} .0264544{col 46} .9585846{col 58} 3.204195{col 70}  3.30799
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,313{col 22} -.595773{col 34} .0238395{col 46} .8638307{col 58}-.6425407{col 70}-.5490054
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-24.9911
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1312

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest subjObj_gap_w1_5 == subjObj_gap_w2_5

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}  1,313{col 22} -1.04265{col 34} .0354162{col 46} 1.283317{col 58}-1.112129{col 70}-.9731719
{txt}subj~2_5 {c |}{res}{col 12}  1,313{col 22} -.637281{col 34} .0354997{col 46} 1.286344{col 58}-.7069234{col 70}-.5676386
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,313{col 22}-.4053694{col 34} .0373746{col 46}  1.35428{col 58}-.4786898{col 70} -.332049
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res}-10.8461
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1312

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest abs_subjObj_gap_w1_5 == abs_subjObj_gap_w2_5

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}  1,313{col 22} 1.364813{col 34} .0257517{col 46} .9331216{col 58} 1.314294{col 70} 1.415332
{txt}abs_~2_5 {c |}{res}{col 12}  1,313{col 22} 1.161272{col 34} .0232791{col 46} .8435273{col 58} 1.115604{col 70}  1.20694
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,313{col 22} .2035415{col 34} .0295862{col 46} 1.072066{col 58} .1455001{col 70}  .261583
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res}  6.8796
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1312

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}.                 
. **Part E: Factor Analysis of Knowledge Items**
. *code provided on lines 59-60 above
. 
. **Part F: Linear Regression Models of the Confidence Gap**
. *prepare data and packages
. encode semester, gen(sem)
{txt}
{com}. ssc install estout
{txt}checking {hilite:estout} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. 
. *descriptive statistics
. *Table A5
. tab ok_w1_3 overconfident

                  {txt}{c |}     overconfident
          ok_w1_3 {c |} Underconf  Overconf. {c |}     Total
{hline 18}{c +}{hline 22}{c +}{hline 10}
  ≤2/5 Qs Correct {c |}{res}        61        109 {txt}{c |}{res}       170 
{txt}   3/5 Qs Correct {c |}{res}       249         78 {txt}{c |}{res}       327 
{txt}   4/5 Qs Correct {c |}{res}       447         47 {txt}{c |}{res}       494 
{txt}   5/5 Qs Correct {c |}{res}       326          0 {txt}{c |}{res}       326 
{txt}{hline 18}{c +}{hline 22}{c +}{hline 10}
            Total {c |}{res}     1,083        234 {txt}{c |}{res}     1,317 
{txt}
{com}. 
. *Table A6
. 
.         * Model 1
. 
. reg subjObj_gap_w2_5 delta_ka delta_ok ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(18, 1255)     = {res}   152.01
{txt}       Model {c |} {res} 1455.74287        18  80.8746036   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 667.697676     1,255  .532030021   {txt}R-squared       ={res}    0.6856
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6810
{txt}       Total {c |} {res} 2123.44054     1,273  1.66806013   {txt}Root MSE        =   {res}  .7294

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .6254087{col 26}{space 2} .0254232{col 37}{space 1}   24.60{col 46}{space 3}0.000{col 54}{space 4} .5755321{col 67}{space 3} .6752853
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9240984{col 26}{space 2} .0219436{col 37}{space 1}  -42.11{col 46}{space 3}0.000{col 54}{space 4}-.9671487{col 67}{space 3}-.8810482
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} -.564912{col 26}{space 2} .0289009{col 37}{space 1}  -19.55{col 46}{space 3}0.000{col 54}{space 4}-.6216113{col 67}{space 3}-.5082127
{txt}overconfid~t {c |}{col 14}{res}{space 2} 1.398597{col 26}{space 2} .0648931{col 37}{space 1}   21.55{col 46}{space 3}0.000{col 54}{space 4} 1.271286{col 67}{space 3} 1.525908
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0438196{col 26}{space 2} .0243651{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0039813{col 67}{space 3} .0916205
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0619305{col 26}{space 2} .0492003{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0345934{col 67}{space 3} .1584543
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0198621{col 26}{space 2} .0326946{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.0840042{col 67}{space 3}   .04428
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} -.027549{col 26}{space 2} .0307518{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-.0878796{col 67}{space 3} .0327817
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.2476866{col 26}{space 2} .0430758{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4}-.3321952{col 67}{space 3}-.1631781
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1610841{col 26}{space 2} .0467813{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-.2528622{col 67}{space 3} -.069306
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2101559{col 26}{space 2} .0775418{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0580301{col 67}{space 3} .3622818
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1402598{col 26}{space 2}  .077722{col 37}{space 1}    1.80{col 46}{space 3}0.071{col 54}{space 4}-.0122195{col 67}{space 3} .2927391
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1025975{col 26}{space 2} .1127388{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4}-.1185799{col 67}{space 3} .3237749
{txt}{space 10}7  {c |}{col 14}{res}{space 2}   .28713{col 26}{space 2} .0989787{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0929481{col 67}{space 3}  .481312
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .172423{col 26}{space 2} .0748188{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0256392{col 67}{space 3} .3192067
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0733788{col 26}{space 2} .0951511{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.1132939{col 67}{space 3} .2600515
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0645789{col 26}{space 2} .1991971{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.3262171{col 67}{space 3}  .455375
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .0876273{col 26}{space 2} .0594007{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0289083{col 67}{space 3} .2041628
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0876959{col 26}{space 2} .1869106{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-.4543875{col 67}{space 3} .2789957
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m1
{txt}
{com}. 
.         * Model 2
. 
. reg subjObj_gap_w2_5 c.delta_ka##c.ok_w1_3 c.delta_ok##c.ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(20, 1253)     = {res}   141.45
{txt}       Model {c |} {res} 1471.61938        20   73.580969   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 651.821161     1,253  .520208428   {txt}R-squared       ={res}    0.6930
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6881
{txt}       Total {c |} {res} 2123.44054     1,273  1.66806013   {txt}Root MSE        =   {res} .72125

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .8486253{col 26}{space 2} .0482908{col 37}{space 1}   17.57{col 46}{space 3}0.000{col 54}{space 4} .7538855{col 67}{space 3} .9433651
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}-.4724764{col 26}{space 2} .0336162{col 37}{space 1}  -14.06{col 46}{space 3}0.000{col 54}{space 4}-.5384267{col 67}{space 3}-.4065261
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.1330748{col 26}{space 2} .0248628{col 37}{space 1}   -5.35{col 46}{space 3}0.000{col 54}{space 4}-.1818521{col 67}{space 3}-.0842975
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9828225{col 26}{space 2} .0336836{col 37}{space 1}  -29.18{col 46}{space 3}0.000{col 54}{space 4}-1.048905{col 67}{space 3}-.9167401
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2} .0383631{col 26}{space 2} .0179935{col 37}{space 1}    2.13{col 46}{space 3}0.033{col 54}{space 4} .0030624{col 67}{space 3} .0736639
{txt}{space 12} {c |}
overconfid~t {c |}{col 14}{res}{space 2} 1.473312{col 26}{space 2} .0659763{col 37}{space 1}   22.33{col 46}{space 3}0.000{col 54}{space 4} 1.343876{col 67}{space 3} 1.602748
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0457036{col 26}{space 2} .0240955{col 37}{space 1}    1.90{col 46}{space 3}0.058{col 54}{space 4}-.0015684{col 67}{space 3} .0929756
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0690058{col 26}{space 2} .0487603{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0266549{col 67}{space 3} .1646666
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0234149{col 26}{space 2} .0323543{col 37}{space 1}   -0.72{col 46}{space 3}0.469{col 54}{space 4}-.0868895{col 67}{space 3} .0400597
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0355026{col 26}{space 2} .0304551{col 37}{space 1}   -1.17{col 46}{space 3}0.244{col 54}{space 4}-.0952513{col 67}{space 3} .0242461
{txt}{space 6}female {c |}{col 14}{res}{space 2} -.241986{col 26}{space 2}  .042662{col 37}{space 1}   -5.67{col 46}{space 3}0.000{col 54}{space 4}-.3256829{col 67}{space 3}-.1582892
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1368671{col 26}{space 2} .0464865{col 37}{space 1}   -2.94{col 46}{space 3}0.003{col 54}{space 4}-.2280671{col 67}{space 3}-.0456672
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2147023{col 26}{space 2} .0767478{col 37}{space 1}    2.80{col 46}{space 3}0.005{col 54}{space 4} .0641339{col 67}{space 3} .3652708
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1416189{col 26}{space 2}  .076888{col 37}{space 1}    1.84{col 46}{space 3}0.066{col 54}{space 4}-.0092246{col 67}{space 3} .2924624
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1074251{col 26}{space 2} .1114857{col 37}{space 1}    0.96{col 46}{space 3}0.335{col 54}{space 4}-.1112942{col 67}{space 3} .3261443
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2888758{col 26}{space 2} .0978756{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .0968576{col 67}{space 3}  .480894
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1583827{col 26}{space 2} .0740414{col 37}{space 1}    2.14{col 46}{space 3}0.033{col 54}{space 4} .0131239{col 67}{space 3} .3036415
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0669599{col 26}{space 2} .0943071{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-.1180573{col 67}{space 3} .2519772
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0520323{col 26}{space 2} .1969876{col 37}{space 1}    0.26{col 46}{space 3}0.792{col 54}{space 4}-.3344296{col 67}{space 3} .4384942
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}  .108742{col 26}{space 2} .0589215{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0068536{col 67}{space 3} .2243377
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} -.236817{col 26}{space 2} .1872009{col 37}{space 1}   -1.27{col 46}{space 3}0.206{col 54}{space 4}-.6040788{col 67}{space 3} .1304448
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2
{txt}
{com}. 
.         * Model 3 with 3way interaction
. 
. reg subjObj_gap_w2_5 c.delta_ka##i.overconfident##c.ok_w1_3 c.delta_ok##i.overconfident##c.ok_w1_3 courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(25, 1248)     = {res}   114.60
{txt}       Model {c |} {res} 1479.11382        25  59.1645526   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 644.326726     1,248  .516287441   {txt}R-squared       ={res}    0.6966
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6905
{txt}       Total {c |} {res} 2123.44054     1,273  1.66806013   {txt}Root MSE        =   {res} .71853

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .8169096{col 26}{space 2} .0623137{col 37}{space 1}   13.11{col 46}{space 3}0.000{col 54}{space 4} .6946584{col 67}{space 3} .9391607
{txt}{space 12} {c |}
overconfid~t {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.233664{col 26}{space 2} .1330573{col 37}{space 1}    9.27{col 46}{space 3}0.000{col 54}{space 4} .9726235{col 67}{space 3} 1.494705
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .0418707{col 26}{space 2} .1025615{col 37}{space 1}    0.41{col 46}{space 3}0.683{col 54}{space 4}-.1593412{col 67}{space 3} .2430826
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}-.4958507{col 26}{space 2} .0387856{col 37}{space 1}  -12.78{col 46}{space 3}0.000{col 54}{space 4}-.5719428{col 67}{space 3}-.4197586
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.1251748{col 26}{space 2} .0302602{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.1845412{col 67}{space 3}-.0658083
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1995264{col 26}{space 2} .0889722{col 37}{space 1}    2.24{col 46}{space 3}0.025{col 54}{space 4} .0249749{col 67}{space 3} .3740779
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1475449{col 26}{space 2} .0900193{col 37}{space 1}    1.64{col 46}{space 3}0.101{col 54}{space 4} -.029061{col 67}{space 3} .3241507
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2} -1.02244{col 26}{space 2} .0484828{col 37}{space 1}  -21.09{col 46}{space 3}0.000{col 54}{space 4}-1.117556{col 67}{space 3}-.9273231
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1368754{col 26}{space 2} .0715211{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0034394{col 67}{space 3} .2771903
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2} .0581252{col 26}{space 2} .0235091{col 37}{space 1}    2.47{col 46}{space 3}0.014{col 54}{space 4} .0120035{col 67}{space 3} .1042469
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.1550999{col 26}{space 2} .0592708{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-.2713814{col 67}{space 3}-.0388185
{txt}{space 12} {c |}
courseAtte~2 {c |}{col 14}{res}{space 2} .0459336{col 26}{space 2}  .024079{col 37}{space 1}    1.91{col 46}{space 3}0.057{col 54}{space 4}-.0013062{col 67}{space 3} .0931734
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}  .069017{col 26}{space 2} .0487562{col 37}{space 1}    1.42{col 46}{space 3}0.157{col 54}{space 4}-.0266361{col 67}{space 3} .1646702
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0197553{col 26}{space 2} .0323281{col 37}{space 1}   -0.61{col 46}{space 3}0.541{col 54}{space 4}-.0831788{col 67}{space 3} .0436681
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0305557{col 26}{space 2} .0304294{col 37}{space 1}   -1.00{col 46}{space 3}0.316{col 54}{space 4} -.090254{col 67}{space 3} .0291427
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.2348014{col 26}{space 2} .0425982{col 37}{space 1}   -5.51{col 46}{space 3}0.000{col 54}{space 4}-.3183733{col 67}{space 3}-.1512295
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1357738{col 26}{space 2} .0465273{col 37}{space 1}   -2.92{col 46}{space 3}0.004{col 54}{space 4}-.2270542{col 67}{space 3}-.0444933
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2174348{col 26}{space 2} .0765789{col 37}{space 1}    2.84{col 46}{space 3}0.005{col 54}{space 4} .0671971{col 67}{space 3} .3676725
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1266127{col 26}{space 2} .0767155{col 37}{space 1}    1.65{col 46}{space 3}0.099{col 54}{space 4}-.0238929{col 67}{space 3} .2771183
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1177301{col 26}{space 2} .1112423{col 37}{space 1}    1.06{col 46}{space 3}0.290{col 54}{space 4}-.1005124{col 67}{space 3} .3359727
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2829978{col 26}{space 2} .0975881{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0915429{col 67}{space 3} .4744526
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1611082{col 26}{space 2} .0738855{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0161548{col 67}{space 3} .3060616
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0575157{col 26}{space 2} .0943201{col 37}{space 1}    0.61{col 46}{space 3}0.542{col 54}{space 4}-.1275276{col 67}{space 3} .2425591
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0701476{col 26}{space 2} .1971011{col 37}{space 1}    0.36{col 46}{space 3}0.722{col 54}{space 4}-.3165384{col 67}{space 3} .4568336
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1100601{col 26}{space 2} .0587745{col 37}{space 1}    1.87{col 46}{space 3}0.061{col 54}{space 4}-.0052476{col 67}{space 3} .2253678
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2005308{col 26}{space 2} .1887347{col 37}{space 1}   -1.06{col 46}{space 3}0.288{col 54}{space 4}-.5708031{col 67}{space 3} .1697416
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3
{txt}
{com}. 
.         *create table
.         *note: additional editing done in Microsoft Word
. esttab m1 m2 m3, b(2) se(2) ar2 bic star(+ 0.1 * 0.05)
{res}
{txt}{hline 54}
{txt}                      (1)           (2)           (3) 
{txt}             subjObj_~2_5  subjObj_~2_5  subjObj_~2_5 
{txt}{hline 54}
{txt}delta_ka    {res}         0.63*         0.85*         0.82*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}delta_ok    {res}        -0.92*        -0.98*        -1.02*{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}ok_w1_3     {res}        -0.56*        -0.47*        -0.50*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}overconfid~t{res}         1.40*         1.47*              {txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}               {txt}

{txt}courseAtte~2{res}         0.04+         0.05+         0.05+{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}parentEdu_w1{res}         0.06          0.07          0.07 {txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}year_w1     {res}        -0.02         -0.02         -0.02 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}gpa_combo   {res}        -0.03         -0.04         -0.03 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}female      {res}        -0.25*        -0.24*        -0.23*{txt}
            {res} {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}minority    {res}        -0.16*        -0.14*        -0.14*{txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}1.instruct~l{res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}3.instruct~l{res}         0.21*         0.21*         0.22*{txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}4.instruct~l{res}         0.14+         0.14+         0.13+{txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}6.instruct~l{res}         0.10          0.11          0.12 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}} {txt}

{txt}7.instruct~l{res}         0.29*         0.29*         0.28*{txt}
            {res} {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}10.instruc~l{res}         0.17*         0.16*         0.16*{txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}11.instruc~l{res}         0.07          0.07          0.06 {txt}
            {res} {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}12.instruc~l{res}         0.06          0.05          0.07 {txt}
            {res} {ralign 12:{txt:(}0.20{txt:)}}  {ralign 12:{txt:(}0.20{txt:)}}  {ralign 12:{txt:(}0.20{txt:)}} {txt}

{txt}1.sem       {res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}2.sem       {res}         0.09          0.11+         0.11+{txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}c.delta_ka~3{res}                      -0.13*        -0.13*{txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}ok_w1_3     {res}                       0.00               {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}               {txt}

{txt}c.delta_ok~3{res}                       0.04*         0.06*{txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}0.overconf~t{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~t{res}                                     1.23*{txt}
            {res}                             {ralign 12:{txt:(}0.13{txt:)}} {txt}

{txt}0.overconf~a{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~a{res}                                     0.04 {txt}
            {res}                             {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}0.overconf~3{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~3{res}                                     0.20*{txt}
            {res}                             {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                     0.15 {txt}
            {res}                             {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}ok_w1_3     {res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}0.overconf~k{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~k{res}                                     0.14+{txt}
            {res}                             {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                    -0.16*{txt}
            {res}                             {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}_cons       {res}        -0.09         -0.24         -0.20 {txt}
            {res} {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}} {txt}
{txt}{hline 54}
{txt}N           {res}         1274          1274          1274 {txt}
{txt}adj. R-sq   {res}        0.681         0.688         0.690 {txt}
{txt}BIC         {res}      2928.20       2911.84       2932.85 {txt}
{txt}{hline 54}
{txt}Standard errors in parentheses
{txt}+ p<0.1, * p<0.05

{com}. 
. *Figure A4
. *obtain ranges of delta_ok and delta_ka by objective knowl wave 1
. ssc install fre
{txt}checking {hilite:fre} consistency and verifying not already installed...
all files already exist and are up to date.

{com}. by ok_w1_3, sort : fre delta_ok delta_ka

{txt}{hline}
-> ok_w1_3 = ≤2/5 Qs Correct
{res}
{txt}delta_ok {hline 2} Change in Obj. Knowl.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -2    {c |}{res}          2       1.18       1.18       1.18
{txt}        -1    {c |}{res}          9       5.29       5.29       6.47
{txt}        0     {c |}{res}         25      14.71      14.71      21.18
{txt}        1     {c |}{res}         43      25.29      25.29      46.47
{txt}        2     {c |}{res}         59      34.71      34.71      81.18
{txt}        3     {c |}{res}         27      15.88      15.88      97.06
{txt}        4     {c |}{res}          5       2.94       2.94     100.00
{txt}        Total {c |}{res}        170     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = 3/5 Qs Correct
{res}
{txt}delta_ok {hline 2} Change in Obj. Knowl.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -3    {c |}{res}          2       0.61       0.61       0.61
{txt}        -2    {c |}{res}         13       3.98       3.98       4.59
{txt}        -1    {c |}{res}         35      10.70      10.70      15.29
{txt}        0     {c |}{res}         96      29.36      29.36      44.65
{txt}        1     {c |}{res}        130      39.76      39.76      84.40
{txt}        2     {c |}{res}         51      15.60      15.60     100.00
{txt}        Total {c |}{res}        327     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = 4/5 Qs Correct
{res}
{txt}delta_ok {hline 2} Change in Obj. Knowl.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -4    {c |}{res}          1       0.20       0.20       0.20
{txt}        -3    {c |}{res}          2       0.40       0.40       0.61
{txt}        -2    {c |}{res}         22       4.45       4.45       5.06
{txt}        -1    {c |}{res}         74      14.98      14.98      20.04
{txt}        0     {c |}{res}        229      46.36      46.36      66.40
{txt}        1     {c |}{res}        166      33.60      33.60     100.00
{txt}        Total {c |}{res}        494     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = 5/5 Qs Correct
{res}
{txt}delta_ok {hline 2} Change in Obj. Knowl.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -4    {c |}{res}          2       0.61       0.61       0.61
{txt}        -3    {c |}{res}          6       1.84       1.84       2.45
{txt}        -2    {c |}{res}         34      10.43      10.43      12.88
{txt}        -1    {c |}{res}        109      33.44      33.44      46.32
{txt}        0     {c |}{res}        175      53.68      53.68     100.00
{txt}        Total {c |}{res}        326     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = ≤2/5 Qs Correct
{res}
{txt}delta_ka {hline 2} Change in Knowl. Conf.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -1.25 {c |}{res}          2       1.18       1.19       1.19
{txt}        -1    {c |}{res}          4       2.35       2.38       3.57
{txt}        -.75  {c |}{res}          7       4.12       4.17       7.74
{txt}        -.5   {c |}{res}          3       1.76       1.79       9.52
{txt}        -.25  {c |}{res}          7       4.12       4.17      13.69
{txt}        0     {c |}{res}         16       9.41       9.52      23.21
{txt}        .25   {c |}{res}         13       7.65       7.74      30.95
{txt}        .5    {c |}{res}         14       8.24       8.33      39.29
{txt}        .75   {c |}{res}         25      14.71      14.88      54.17
{txt}        1     {c |}{res}         17      10.00      10.12      64.29
{txt}        1.25  {c |}{res}         22      12.94      13.10      77.38
{txt}        1.5   {c |}{res}         14       8.24       8.33      85.71
{txt}        1.75  {c |}{res}          7       4.12       4.17      89.88
{txt}        2     {c |}{res}          7       4.12       4.17      94.05
{txt}        2.25  {c |}{res}          3       1.76       1.79      95.83
{txt}        2.5   {c |}{res}          2       1.18       1.19      97.02
{txt}        2.75  {c |}{res}          1       0.59       0.60      97.62
{txt}        3     {c |}{res}          1       0.59       0.60      98.21
{txt}        3.25  {c |}{res}          1       0.59       0.60      98.81
{txt}        3.75  {c |}{res}          1       0.59       0.60      99.40
{txt}        4.5   {c |}{res}          1       0.59       0.60     100.00
{txt}        Total {c |}{res}        168      98.82     100.00           
{txt}Missing .     {c |}{res}          2       1.18                      
{txt}Total         {c |}{res}        170     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = 3/5 Qs Correct
{res}
{txt}delta_ka {hline 2} Change in Knowl. Conf.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -2.5  {c |}{res}          2       0.61       0.61       0.61
{txt}        -1.75 {c |}{res}          3       0.92       0.92       1.53
{txt}        -1.5  {c |}{res}          2       0.61       0.61       2.14
{txt}        -1.25 {c |}{res}          1       0.31       0.31       2.45
{txt}        -1    {c |}{res}          2       0.61       0.61       3.06
{txt}        -.75  {c |}{res}         12       3.67       3.67       6.73
{txt}        -.5   {c |}{res}         13       3.98       3.98      10.70
{txt}        -.25  {c |}{res}         35      10.70      10.70      21.41
{txt}        0     {c |}{res}         30       9.17       9.17      30.58
{txt}        .25   {c |}{res}         34      10.40      10.40      40.98
{txt}        .5    {c |}{res}         31       9.48       9.48      50.46
{txt}        .75   {c |}{res}         40      12.23      12.23      62.69
{txt}        1     {c |}{res}         28       8.56       8.56      71.25
{txt}        1.25  {c |}{res}         26       7.95       7.95      79.20
{txt}        1.5   {c |}{res}         20       6.12       6.12      85.32
{txt}        1.75  {c |}{res}         14       4.28       4.28      89.60
{txt}        2     {c |}{res}          7       2.14       2.14      91.74
{txt}        2.25  {c |}{res}         10       3.06       3.06      94.80
{txt}        2.5   {c |}{res}          7       2.14       2.14      96.94
{txt}        2.75  {c |}{res}          6       1.83       1.83      98.78
{txt}        3     {c |}{res}          2       0.61       0.61      99.39
{txt}        3.25  {c |}{res}          2       0.61       0.61     100.00
{txt}        Total {c |}{res}        327     100.00     100.00           
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = 4/5 Qs Correct
{res}
{txt}delta_ka {hline 2} Change in Knowl. Conf.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -2    {c |}{res}          1       0.20       0.20       0.20
{txt}        -1.5  {c |}{res}          3       0.61       0.61       0.81
{txt}        -1.25 {c |}{res}          3       0.61       0.61       1.42
{txt}        -1    {c |}{res}         10       2.02       2.03       3.45
{txt}        -.75  {c |}{res}         13       2.63       2.64       6.09
{txt}        -.5   {c |}{res}         22       4.45       4.46      10.55
{txt}        -.25  {c |}{res}         49       9.92       9.94      20.49
{txt}        0     {c |}{res}         58      11.74      11.76      32.25
{txt}        .25   {c |}{res}         52      10.53      10.55      42.80
{txt}        .5    {c |}{res}         76      15.38      15.42      58.22
{txt}        .75   {c |}{res}         54      10.93      10.95      69.17
{txt}        1     {c |}{res}         50      10.12      10.14      79.31
{txt}        1.25  {c |}{res}         32       6.48       6.49      85.80
{txt}        1.5   {c |}{res}         28       5.67       5.68      91.48
{txt}        1.75  {c |}{res}         13       2.63       2.64      94.12
{txt}        2     {c |}{res}         10       2.02       2.03      96.15
{txt}        2.25  {c |}{res}         10       2.02       2.03      98.17
{txt}        2.5   {c |}{res}          3       0.61       0.61      98.78
{txt}        2.75  {c |}{res}          3       0.61       0.61      99.39
{txt}        3     {c |}{res}          1       0.20       0.20      99.59
{txt}        3.25  {c |}{res}          1       0.20       0.20      99.80
{txt}        4     {c |}{res}          1       0.20       0.20     100.00
{txt}        Total {c |}{res}        493      99.80     100.00           
{txt}Missing .     {c |}{res}          1       0.20                      
{txt}Total         {c |}{res}        494     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{hline}
-> ok_w1_3 = 5/5 Qs Correct
{res}
{txt}delta_ka {hline 2} Change in Knowl. Conf.
{txt}{hline 13}{hline 1}{c TT}{hline 44}
{txt}        {txt}      {c |}      Freq.    Percent      Valid       Cum.
{txt}{hline 13}{hline 1}{c +}{hline 44}
{txt}Valid   -1.75 {c |}{res}          2       0.61       0.62       0.62
{txt}        -1.5  {c |}{res}          1       0.31       0.31       0.92
{txt}        -1.25 {c |}{res}          4       1.23       1.23       2.15
{txt}        -1    {c |}{res}          3       0.92       0.92       3.08
{txt}        -.75  {c |}{res}          5       1.53       1.54       4.62
{txt}        -.5   {c |}{res}         21       6.44       6.46      11.08
{txt}        -.25  {c |}{res}         22       6.75       6.77      17.85
{txt}        0     {c |}{res}         41      12.58      12.62      30.46
{txt}        .25   {c |}{res}         39      11.96      12.00      42.46
{txt}        .5    {c |}{res}         41      12.58      12.62      55.08
{txt}        .75   {c |}{res}         40      12.27      12.31      67.38
{txt}        1     {c |}{res}         42      12.88      12.92      80.31
{txt}        1.25  {c |}{res}         22       6.75       6.77      87.08
{txt}        1.5   {c |}{res}         16       4.91       4.92      92.00
{txt}        1.75  {c |}{res}         13       3.99       4.00      96.00
{txt}        2     {c |}{res}          5       1.53       1.54      97.54
{txt}        2.25  {c |}{res}          3       0.92       0.92      98.46
{txt}        2.5   {c |}{res}          2       0.61       0.62      99.08
{txt}        2.75  {c |}{res}          1       0.31       0.31      99.38
{txt}        3     {c |}{res}          1       0.31       0.31      99.69
{txt}        3.5   {c |}{res}          1       0.31       0.31     100.00
{txt}        Total {c |}{res}        325      99.69     100.00           
{txt}Missing .     {c |}{res}          1       0.31                      
{txt}Total         {c |}{res}        326     100.00                      
{txt}{hline 13}{hline 1}{c BT}{hline 44}

{com}. *use ranges of variables to make plots below
. 
. *calculate and plot marginal effect for  delta_ka
. margins overconfident, at(delta_ka=(-1.25(0.25)4.5) ok_w1_3=0) atmeans saving(dka0, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.395058{col 26}{space 2} .1461098{col 37}{space 1}   -9.55{col 46}{space 3}0.000{col 54}{space 4}-1.681706{col 67}{space 3} -1.10841
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} -.187947{col 26}{space 2} .1624406{col 37}{space 1}   -1.16{col 46}{space 3}0.247{col 54}{space 4}-.5066339{col 67}{space 3} .1307398
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} -1.19083{col 26}{space 2} .1322263{col 37}{space 1}   -9.01{col 46}{space 3}0.000{col 54}{space 4}-1.450241{col 67}{space 3}-.9314201
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .026748{col 26}{space 2} .1460647{col 37}{space 1}    0.18{col 46}{space 3}0.855{col 54}{space 4}-.2598113{col 67}{space 3} .3133074
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} -.986603{col 26}{space 2}  .118764{col 37}{space 1}   -8.31{col 46}{space 3}0.000{col 54}{space 4}-1.219602{col 67}{space 3}-.7536039
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .2414431{col 26}{space 2} .1308283{col 37}{space 1}    1.85{col 46}{space 3}0.065{col 54}{space 4}-.0152246{col 67}{space 3} .4981108
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.7823756{col 26}{space 2} .1058837{col 37}{space 1}   -7.39{col 46}{space 3}0.000{col 54}{space 4}-.9901054{col 67}{space 3}-.5746459
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .4561382{col 26}{space 2}  .117177{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} .2262526{col 67}{space 3} .6860238
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.5781483{col 26}{space 2} .0938254{col 37}{space 1}   -6.16{col 46}{space 3}0.000{col 54}{space 4}-.7622211{col 67}{space 3}-.3940754
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .6708333{col 26}{space 2} .1057264{col 37}{space 1}    6.34{col 46}{space 3}0.000{col 54}{space 4} .4634122{col 67}{space 3} .8782543
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.3739209{col 26}{space 2} .0829483{col 37}{space 1}   -4.51{col 46}{space 3}0.000{col 54}{space 4}-.5366543{col 67}{space 3}-.2111874
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .8855283{col 26}{space 2}  .097257{col 37}{space 1}    9.11{col 46}{space 3}0.000{col 54}{space 4}  .694723{col 67}{space 3} 1.076334
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.1696935{col 26}{space 2} .0737767{col 37}{space 1}   -2.30{col 46}{space 3}0.022{col 54}{space 4}-.3144336{col 67}{space 3}-.0249533
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.100223{col 26}{space 2} .0925906{col 37}{space 1}   11.88{col 46}{space 3}0.000{col 54}{space 4}  .918573{col 67}{space 3} 1.281874
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0345339{col 26}{space 2} .0670147{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4}  -.09694{col 67}{space 3} .1660079
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.314918{col 26}{space 2} .0923057{col 37}{space 1}   14.25{col 46}{space 3}0.000{col 54}{space 4} 1.133827{col 67}{space 3}  1.49601
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .2387613{col 26}{space 2} .0634375{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .1143055{col 67}{space 3} .3632172
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.529614{col 26}{space 2} .0964412{col 37}{space 1}   15.86{col 46}{space 3}0.000{col 54}{space 4} 1.340409{col 67}{space 3} 1.718818
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .4429887{col 26}{space 2} .0635848{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4} .3182438{col 67}{space 3} .5677337
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.744309{col 26}{space 2} .1044735{col 37}{space 1}   16.70{col 46}{space 3}0.000{col 54}{space 4} 1.539346{col 67}{space 3} 1.949272
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6472161{col 26}{space 2} .0674323{col 37}{space 1}    9.60{col 46}{space 3}0.000{col 54}{space 4} .5149229{col 67}{space 3} .7795093
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.959004{col 26}{space 2}  .115593{col 37}{space 1}   16.95{col 46}{space 3}0.000{col 54}{space 4} 1.732226{col 67}{space 3} 2.185782
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8514435{col 26}{space 2} .0744082{col 37}{space 1}   11.44{col 46}{space 3}0.000{col 54}{space 4} .7054645{col 67}{space 3} .9974225
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.173699{col 26}{space 2} .1290038{col 37}{space 1}   16.85{col 46}{space 3}0.000{col 54}{space 4}  1.92061{col 67}{space 3} 2.426787
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.055671{col 26}{space 2} .0837342{col 37}{space 1}   12.61{col 46}{space 3}0.000{col 54}{space 4} .8913955{col 67}{space 3} 1.219946
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.388394{col 26}{space 2} .1440676{col 37}{space 1}   16.58{col 46}{space 3}0.000{col 54}{space 4} 2.105752{col 67}{space 3} 2.671035
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.259898{col 26}{space 2} .0947187{col 37}{space 1}   13.30{col 46}{space 3}0.000{col 54}{space 4} 1.074073{col 67}{space 3} 1.445724
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.603089{col 26}{space 2} .1603191{col 37}{space 1}   16.24{col 46}{space 3}0.000{col 54}{space 4} 2.288564{col 67}{space 3} 2.917614
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.464126{col 26}{space 2} .1068514{col 37}{space 1}   13.70{col 46}{space 3}0.000{col 54}{space 4} 1.254498{col 67}{space 3} 1.673754
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.817784{col 26}{space 2} .1774321{col 37}{space 1}   15.88{col 46}{space 3}0.000{col 54}{space 4} 2.469686{col 67}{space 3} 3.165882
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.668353{col 26}{space 2} .1197839{col 37}{space 1}   13.93{col 46}{space 3}0.000{col 54}{space 4} 1.433353{col 67}{space 3} 1.903353
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.032479{col 26}{space 2} .1951803{col 37}{space 1}   15.54{col 46}{space 3}0.000{col 54}{space 4} 2.649561{col 67}{space 3} 3.415397
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.87258{col 26}{space 2} .1332836{col 37}{space 1}   14.05{col 46}{space 3}0.000{col 54}{space 4} 1.611096{col 67}{space 3} 2.134065
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.247174{col 26}{space 2} .2134052{col 37}{space 1}   15.22{col 46}{space 3}0.000{col 54}{space 4} 2.828502{col 67}{space 3} 3.665847
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.076808{col 26}{space 2} .1471945{col 37}{space 1}   14.11{col 46}{space 3}0.000{col 54}{space 4} 1.788032{col 67}{space 3} 2.365584
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.461869{col 26}{space 2} .2319945{col 37}{space 1}   14.92{col 46}{space 3}0.000{col 54}{space 4} 3.006727{col 67}{space 3} 3.917011
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.281035{col 26}{space 2} .1614104{col 37}{space 1}   14.13{col 46}{space 3}0.000{col 54}{space 4}  1.96437{col 67}{space 3} 2.597701
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.676564{col 26}{space 2} .2508672{col 37}{space 1}   14.66{col 46}{space 3}0.000{col 54}{space 4} 3.184396{col 67}{space 3} 4.168732
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.485263{col 26}{space 2} .1758572{col 37}{space 1}   14.13{col 46}{space 3}0.000{col 54}{space 4} 2.140254{col 67}{space 3} 2.830271
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.891259{col 26}{space 2} .2699638{col 37}{space 1}   14.41{col 46}{space 3}0.000{col 54}{space 4} 3.361626{col 67}{space 3} 4.420892
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  2.68949{col 26}{space 2} .1904826{col 37}{space 1}   14.12{col 46}{space 3}0.000{col 54}{space 4} 2.315789{col 67}{space 3} 3.063191
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 4.105954{col 26}{space 2} .2892401{col 37}{space 1}   14.20{col 46}{space 3}0.000{col 54}{space 4} 3.538504{col 67}{space 3} 4.673405
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.893717{col 26}{space 2} .2052482{col 37}{space 1}   14.10{col 46}{space 3}0.000{col 54}{space 4} 2.491048{col 67}{space 3} 3.296387
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  4.32065{col 26}{space 2} .3086623{col 37}{space 1}   14.00{col 46}{space 3}0.000{col 54}{space 4} 3.715095{col 67}{space 3} 4.926204
{txt}{space 9}23 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 3.097945{col 26}{space 2} .2201259{col 37}{space 1}   14.07{col 46}{space 3}0.000{col 54}{space 4} 2.666087{col 67}{space 3} 3.529802
{txt}{space 9}23 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 4.535345{col 26}{space 2} .3282046{col 37}{space 1}   13.82{col 46}{space 3}0.000{col 54}{space 4} 3.891451{col 67}{space 3} 5.179238
{txt}{space 9}24 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 3.302172{col 26}{space 2} .2350944{col 37}{space 1}   14.05{col 46}{space 3}0.000{col 54}{space 4} 2.840949{col 67}{space 3} 3.763396
{txt}{space 9}24 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  4.75004{col 26}{space 2} .3478466{col 37}{space 1}   13.66{col 46}{space 3}0.000{col 54}{space 4} 4.067611{col 67}{space 3} 5.432468
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("≤2/5 Qs Correct") yscale(r(-3 6)) ytitle("") xscale(r(-1.25 4.5)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==0, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka0.gph", replace
{res}{txt}file {bf:dka0.gph} saved

{com}. 
.         * note: y-axis needs to be manually adjusted to go from -3, 6 in graph editor
. margins overconfident, at(delta_ka=(-2.5(0.25)3.25) ok_w1_3=1) atmeans saving(dka1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.588159{col 26}{space 2} .1308422{col 37}{space 1}  -19.78{col 46}{space 3}0.000{col 54}{space 4}-2.844854{col 67}{space 3}-2.331464
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} -1.63194{col 26}{space 2} .1824788{col 37}{space 1}   -8.94{col 46}{space 3}0.000{col 54}{space 4}-1.989939{col 67}{space 3}-1.273941
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.415225{col 26}{space 2} .1218564{col 37}{space 1}  -19.82{col 46}{space 3}0.000{col 54}{space 4}-2.654291{col 67}{space 3}-2.176159
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.411653{col 26}{space 2} .1659812{col 37}{space 1}   -8.50{col 46}{space 3}0.000{col 54}{space 4}-1.737286{col 67}{space 3} -1.08602
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.242291{col 26}{space 2}  .112937{col 37}{space 1}  -19.85{col 46}{space 3}0.000{col 54}{space 4}-2.463859{col 67}{space 3}-2.020724
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.191365{col 26}{space 2} .1497226{col 37}{space 1}   -7.96{col 46}{space 3}0.000{col 54}{space 4}-1.485101{col 67}{space 3}-.8976294
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.069358{col 26}{space 2} .1041013{col 37}{space 1}  -19.88{col 46}{space 3}0.000{col 54}{space 4}-2.273591{col 67}{space 3}-1.865125
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.9710776{col 26}{space 2} .1337901{col 37}{space 1}   -7.26{col 46}{space 3}0.000{col 54}{space 4}-1.233556{col 67}{space 3}-.7085993
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.896424{col 26}{space 2} .0953724{col 37}{space 1}  -19.88{col 46}{space 3}0.000{col 54}{space 4}-2.083532{col 67}{space 3}-1.709316
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  -.75079{col 26}{space 2} .1183155{col 37}{space 1}   -6.35{col 46}{space 3}0.000{col 54}{space 4}-.9829091{col 67}{space 3}-.5186708
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} -1.72349{col 26}{space 2} .0867826{col 37}{space 1}  -19.86{col 46}{space 3}0.000{col 54}{space 4}-1.893746{col 67}{space 3}-1.553234
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.5305024{col 26}{space 2} .1035043{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-.7335641{col 67}{space 3}-.3274407
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.550557{col 26}{space 2} .0783776{col 37}{space 1}  -19.78{col 46}{space 3}0.000{col 54}{space 4}-1.704323{col 67}{space 3} -1.39679
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.3102148{col 26}{space 2} .0896861{col 37}{space 1}   -3.46{col 46}{space 3}0.001{col 54}{space 4}-.4861669{col 67}{space 3}-.1342627
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.377623{col 26}{space 2} .0702239{col 37}{space 1}  -19.62{col 46}{space 3}0.000{col 54}{space 4}-1.515393{col 67}{space 3}-1.239853
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.0899272{col 26}{space 2} .0773942{col 37}{space 1}   -1.16{col 46}{space 3}0.245{col 54}{space 4}-.2417643{col 67}{space 3}   .06191
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.204689{col 26}{space 2} .0624198{col 37}{space 1}  -19.30{col 46}{space 3}0.000{col 54}{space 4}-1.327149{col 67}{space 3} -1.08223
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1303604{col 26}{space 2} .0674684{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0020035{col 67}{space 3} .2627244
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.031755{col 26}{space 2} .0551143{col 37}{space 1}  -18.72{col 46}{space 3}0.000{col 54}{space 4}-1.139882{col 67}{space 3}-.9236285
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .350648{col 26}{space 2} .0610732{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4} .2308306{col 67}{space 3} .4704655
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.8588218{col 26}{space 2}  .048533{col 37}{space 1}  -17.70{col 46}{space 3}0.000{col 54}{space 4} -.954037{col 67}{space 3}-.7636065
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .5709356{col 26}{space 2}  .059361{col 37}{space 1}    9.62{col 46}{space 3}0.000{col 54}{space 4} .4544773{col 67}{space 3} .6873939
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.6858881{col 26}{space 2} .0430095{col 37}{space 1}  -15.95{col 46}{space 3}0.000{col 54}{space 4} -.770267{col 67}{space 3}-.6015091
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7912232{col 26}{space 2} .0627164{col 37}{space 1}   12.62{col 46}{space 3}0.000{col 54}{space 4} .6681819{col 67}{space 3} .9142645
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.5129544{col 26}{space 2} .0389961{col 37}{space 1}  -13.15{col 46}{space 3}0.000{col 54}{space 4}-.5894595{col 67}{space 3}-.4364492
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.011511{col 26}{space 2} .0704189{col 37}{space 1}   14.36{col 46}{space 3}0.000{col 54}{space 4} .8733584{col 67}{space 3} 1.149663
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.3400207{col 26}{space 2} .0369876{col 37}{space 1}   -9.19{col 46}{space 3}0.000{col 54}{space 4}-.4125853{col 67}{space 3} -.267456
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.231798{col 26}{space 2} .0812411{col 37}{space 1}   15.16{col 46}{space 3}0.000{col 54}{space 4} 1.072414{col 67}{space 3} 1.391183
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} -.167087{col 26}{space 2} .0373091{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4}-.2402825{col 67}{space 3}-.0938914
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.452086{col 26}{space 2}  .094113{col 37}{space 1}   15.43{col 46}{space 3}0.000{col 54}{space 4} 1.267449{col 67}{space 3} 1.636723
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0058467{col 26}{space 2} .0399045{col 37}{space 1}    0.15{col 46}{space 3}0.884{col 54}{space 4}-.0724406{col 67}{space 3} .0841341
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.672374{col 26}{space 2} .1083062{col 37}{space 1}   15.44{col 46}{space 3}0.000{col 54}{space 4} 1.459891{col 67}{space 3} 1.884856
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .1787804{col 26}{space 2} .0443765{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .0917196{col 67}{space 3} .2658413
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.892661{col 26}{space 2} .1233655{col 37}{space 1}   15.34{col 46}{space 3}0.000{col 54}{space 4} 1.650634{col 67}{space 3} 2.134688
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3517141{col 26}{space 2} .0502264{col 37}{space 1}    7.00{col 46}{space 3}0.000{col 54}{space 4} .2531766{col 67}{space 3} .4502517
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.112949{col 26}{space 2} .1390097{col 37}{space 1}   15.20{col 46}{space 3}0.000{col 54}{space 4}  1.84023{col 67}{space 3} 2.385667
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5246478{col 26}{space 2} .0570317{col 37}{space 1}    9.20{col 46}{space 3}0.000{col 54}{space 4} .4127593{col 67}{space 3} .6365364
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.333236{col 26}{space 2} .1550619{col 37}{space 1}   15.05{col 46}{space 3}0.000{col 54}{space 4} 2.029026{col 67}{space 3} 2.637447
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6975815{col 26}{space 2} .0644907{col 37}{space 1}   10.82{col 46}{space 3}0.000{col 54}{space 4} .5710595{col 67}{space 3} .8241036
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.553524{col 26}{space 2} .1714075{col 37}{space 1}   14.90{col 46}{space 3}0.000{col 54}{space 4} 2.217245{col 67}{space 3} 2.889803
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8705152{col 26}{space 2} .0724015{col 37}{space 1}   12.02{col 46}{space 3}0.000{col 54}{space 4} .7284731{col 67}{space 3} 1.012557
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.773812{col 26}{space 2} .1879699{col 37}{space 1}   14.76{col 46}{space 3}0.000{col 54}{space 4}  2.40504{col 67}{space 3} 3.142583
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.043449{col 26}{space 2} .0806314{col 37}{space 1}   12.94{col 46}{space 3}0.000{col 54}{space 4} .8852608{col 67}{space 3} 1.201637
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.994099{col 26}{space 2} .2046966{col 37}{space 1}   14.63{col 46}{space 3}0.000{col 54}{space 4} 2.592512{col 67}{space 3} 3.395687
{txt}{space 9}23 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.216383{col 26}{space 2}  .089092{col 37}{space 1}   13.65{col 46}{space 3}0.000{col 54}{space 4} 1.041596{col 67}{space 3} 1.391169
{txt}{space 9}23 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.214387{col 26}{space 2} .2215503{col 37}{space 1}   14.51{col 46}{space 3}0.000{col 54}{space 4} 2.779735{col 67}{space 3} 3.649039
{txt}{space 9}24 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.389316{col 26}{space 2} .0977233{col 37}{space 1}   14.22{col 46}{space 3}0.000{col 54}{space 4} 1.197596{col 67}{space 3} 1.581036
{txt}{space 9}24 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.434674{col 26}{space 2} .2385041{col 37}{space 1}   14.40{col 46}{space 3}0.000{col 54}{space 4} 2.966761{col 67}{space 3} 3.902588
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("3/5 Qs Correct") yscale(r(-3 6)) ytitle("") xscale(r(-2.5 3.25)) xlabel(minmax) legend(cols(1)) yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==1, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka1.gph", replace
{res}{txt}file {bf:dka1.gph} saved

{com}. 
. margins overconfident, at(delta_ka=(-2(0.25)4) ok_w1_3=2) atmeans saving(dka2, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.476843{col 26}{space 2} .0774262{col 37}{space 1}  -31.99{col 46}{space 3}0.000{col 54}{space 4}-2.628743{col 67}{space 3}-2.324943
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.550698{col 26}{space 2}  .258836{col 37}{space 1}   -5.99{col 46}{space 3}0.000{col 54}{space 4}  -2.0585{col 67}{space 3}-1.042896
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.335203{col 26}{space 2} .0708936{col 37}{space 1}  -32.94{col 46}{space 3}0.000{col 54}{space 4}-2.474287{col 67}{space 3}-2.196119
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.324818{col 26}{space 2} .2283137{col 37}{space 1}   -5.80{col 46}{space 3}0.000{col 54}{space 4}-1.772739{col 67}{space 3} -.876897
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.193563{col 26}{space 2}  .064448{col 37}{space 1}  -34.04{col 46}{space 3}0.000{col 54}{space 4}-2.320001{col 67}{space 3}-2.067124
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.098938{col 26}{space 2} .1986248{col 37}{space 1}   -5.53{col 46}{space 3}0.000{col 54}{space 4}-1.488613{col 67}{space 3}-.7092626
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.051923{col 26}{space 2} .0581184{col 37}{space 1}  -35.31{col 46}{space 3}0.000{col 54}{space 4}-2.165943{col 67}{space 3}-1.937902
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.8730577{col 26}{space 2} .1702059{col 37}{space 1}   -5.13{col 46}{space 3}0.000{col 54}{space 4}-1.206979{col 67}{space 3}-.5391364
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.910283{col 26}{space 2} .0519473{col 37}{space 1}  -36.77{col 46}{space 3}0.000{col 54}{space 4}-2.012196{col 67}{space 3}-1.808369
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.6471776{col 26}{space 2} .1438122{col 37}{space 1}   -4.50{col 46}{space 3}0.000{col 54}{space 4}-.9293179{col 67}{space 3}-.3650373
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.768643{col 26}{space 2} .0459983{col 37}{space 1}  -38.45{col 46}{space 3}0.000{col 54}{space 4}-1.858885{col 67}{space 3}  -1.6784
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.4212975{col 26}{space 2} .1207785{col 37}{space 1}   -3.49{col 46}{space 3}0.001{col 54}{space 4}-.6582487{col 67}{space 3}-.1843463
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.627003{col 26}{space 2} .0403699{col 37}{space 1}  -40.30{col 46}{space 3}0.000{col 54}{space 4}-1.706203{col 67}{space 3}-1.547802
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.1954174{col 26}{space 2} .1033757{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.3982268{col 67}{space 3}  .007392
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.485363{col 26}{space 2} .0352161{col 37}{space 1}  -42.18{col 46}{space 3}0.000{col 54}{space 4}-1.554452{col 67}{space 3}-1.416273
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .0304627{col 26}{space 2} .0947589{col 37}{space 1}    0.32{col 46}{space 3}0.748{col 54}{space 4}-.1554417{col 67}{space 3} .2163672
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.343723{col 26}{space 2} .0307762{col 37}{space 1}  -43.66{col 46}{space 3}0.000{col 54}{space 4}-1.404102{col 67}{space 3}-1.283344
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .2563429{col 26}{space 2} .0972913{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .0654704{col 67}{space 3} .4472153
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.202083{col 26}{space 2} .0273997{col 37}{space 1}  -43.87{col 46}{space 3}0.000{col 54}{space 4}-1.255837{col 67}{space 3}-1.148328
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .482223{col 26}{space 2} .1102068{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4}  .266012{col 67}{space 3}  .698434
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.060443{col 26}{space 2} .0255121{col 37}{space 1}  -41.57{col 46}{space 3}0.000{col 54}{space 4}-1.110494{col 67}{space 3}-1.010391
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7081031{col 26}{space 2} .1304572{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .4521635{col 67}{space 3} .9640428
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.9188027{col 26}{space 2} .0254471{col 37}{space 1}  -36.11{col 46}{space 3}0.000{col 54}{space 4}-.9687264{col 67}{space 3}-.8688789
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9339832{col 26}{space 2} .1551975{col 37}{space 1}    6.02{col 46}{space 3}0.000{col 54}{space 4} .6295065{col 67}{space 3}  1.23846
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.7771627{col 26}{space 2} .0272176{col 37}{space 1}  -28.55{col 46}{space 3}0.000{col 54}{space 4}  -.83056{col 67}{space 3}-.7237653
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.159863{col 26}{space 2} .1826117{col 37}{space 1}    6.35{col 46}{space 3}0.000{col 54}{space 4} .8016036{col 67}{space 3} 1.518123
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.6355226{col 26}{space 2} .0305059{col 37}{space 1}  -20.83{col 46}{space 3}0.000{col 54}{space 4}-.6953711{col 67}{space 3}-.5756742
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.385743{col 26}{space 2} .2116635{col 37}{space 1}    6.55{col 46}{space 3}0.000{col 54}{space 4}  .970488{col 67}{space 3} 1.800999
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.4938826{col 26}{space 2} .0348852{col 37}{space 1}  -14.16{col 46}{space 3}0.000{col 54}{space 4}-.5623227{col 67}{space 3}-.4254426
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.611624{col 26}{space 2} .2417631{col 37}{space 1}    6.67{col 46}{space 3}0.000{col 54}{space 4} 1.137317{col 67}{space 3} 2.085931
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.3522426{col 26}{space 2} .0399988{col 37}{space 1}   -8.81{col 46}{space 3}0.000{col 54}{space 4}-.4307149{col 67}{space 3}-.2737704
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.837504{col 26}{space 2} .2725638{col 37}{space 1}    6.74{col 46}{space 3}0.000{col 54}{space 4}  1.30277{col 67}{space 3} 2.372238
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.2106026{col 26}{space 2} .0456003{col 37}{space 1}   -4.62{col 46}{space 3}0.000{col 54}{space 4}-.3000644{col 67}{space 3}-.1211409
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.063384{col 26}{space 2} .3038524{col 37}{space 1}    6.79{col 46}{space 3}0.000{col 54}{space 4} 1.467266{col 67}{space 3} 2.659502
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.0689626{col 26}{space 2} .0515309{col 37}{space 1}   -1.34{col 46}{space 3}0.181{col 54}{space 4}-.1700594{col 67}{space 3} .0321342
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.289264{col 26}{space 2} .3354923{col 37}{space 1}    6.82{col 46}{space 3}0.000{col 54}{space 4} 1.631073{col 67}{space 3} 2.947455
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0726774{col 26}{space 2} .0576892{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0405012{col 67}{space 3} .1858559
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.515144{col 26}{space 2} .3673929{col 37}{space 1}    6.85{col 46}{space 3}0.000{col 54}{space 4} 1.794368{col 67}{space 3}  3.23592
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .2143174{col 26}{space 2} .0640095{col 37}{space 1}    3.35{col 46}{space 3}0.001{col 54}{space 4} .0887393{col 67}{space 3} .3398955
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.741024{col 26}{space 2} .3994917{col 37}{space 1}    6.86{col 46}{space 3}0.000{col 54}{space 4} 1.957275{col 67}{space 3} 3.524774
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3559574{col 26}{space 2} .0704482{col 37}{space 1}    5.05{col 46}{space 3}0.000{col 54}{space 4} .2177475{col 67}{space 3} .4941673
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.966904{col 26}{space 2} .4317445{col 37}{space 1}    6.87{col 46}{space 3}0.000{col 54}{space 4} 2.119879{col 67}{space 3} 3.813929
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .4975974{col 26}{space 2} .0769755{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} .3465817{col 67}{space 3} .6486131
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.192784{col 26}{space 2} .4641191{col 37}{space 1}    6.88{col 46}{space 3}0.000{col 54}{space 4} 2.282245{col 67}{space 3} 4.103324
{txt}{space 9}23 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6392374{col 26}{space 2} .0835708{col 37}{space 1}    7.65{col 46}{space 3}0.000{col 54}{space 4} .4752826{col 67}{space 3} .8031922
{txt}{space 9}23 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.418665{col 26}{space 2} .4965919{col 37}{space 1}    6.88{col 46}{space 3}0.000{col 54}{space 4} 2.444418{col 67}{space 3} 4.392912
{txt}{space 9}24 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7808774{col 26}{space 2} .0902191{col 37}{space 1}    8.66{col 46}{space 3}0.000{col 54}{space 4} .6038795{col 67}{space 3} .9578753
{txt}{space 9}24 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.644545{col 26}{space 2} .5291446{col 37}{space 1}    6.89{col 46}{space 3}0.000{col 54}{space 4} 2.606434{col 67}{space 3} 4.682656
{txt}{space 9}25 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9225174{col 26}{space 2} .0969096{col 37}{space 1}    9.52{col 46}{space 3}0.000{col 54}{space 4} .7323938{col 67}{space 3} 1.112641
{txt}{space 9}25 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.870425{col 26}{space 2} .5617634{col 37}{space 1}    6.89{col 46}{space 3}0.000{col 54}{space 4}  2.76832{col 67}{space 3}  4.97253
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("4/5 Qs Correct") yscale(r(-3 6)) ytitle("") xscale(r(-2 4)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==2, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka2.gph", replace
{res}{txt}file {bf:dka2.gph} saved

{com}. 
.         *note: overconfident plot hidden in graph editor since substantively, 5/5 respondents cannot be overconfident
. margins overconfident, at(delta_ka=(-1.75(0.25)3.5) ok_w1_3=3) atmeans saving(dka3, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.601048{col 26}{space 2} .1144519{col 37}{space 1}  -22.73{col 46}{space 3}0.000{col 54}{space 4}-2.825587{col 67}{space 3}-2.376508
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.678558{col 26}{space 2} .3763946{col 37}{space 1}   -4.46{col 46}{space 3}0.000{col 54}{space 4}-2.416994{col 67}{space 3}-.9401225
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.490701{col 26}{space 2} .1042626{col 37}{space 1}  -23.89{col 46}{space 3}0.000{col 54}{space 4}-2.695251{col 67}{space 3}-2.286152
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.447086{col 26}{space 2} .3295937{col 37}{space 1}   -4.39{col 46}{space 3}0.000{col 54}{space 4}-2.093705{col 67}{space 3}-.8004669
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.380355{col 26}{space 2} .0942745{col 37}{space 1}  -25.25{col 46}{space 3}0.000{col 54}{space 4}-2.565309{col 67}{space 3}-2.195401
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-1.215613{col 26}{space 2} .2848819{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4}-1.774513{col 67}{space 3}-.6567128
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.270009{col 26}{space 2} .0845588{col 37}{space 1}  -26.85{col 46}{space 3}0.000{col 54}{space 4}-2.435902{col 67}{space 3}-2.104116
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.9841404{col 26}{space 2} .2434131{col 37}{space 1}   -4.04{col 46}{space 3}0.000{col 54}{space 4}-1.461685{col 67}{space 3}-.5065964
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.159663{col 26}{space 2} .0752213{col 37}{space 1}  -28.71{col 46}{space 3}0.000{col 54}{space 4}-2.307237{col 67}{space 3}-2.012088
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.7526678{col 26}{space 2} .2071443{col 37}{space 1}   -3.63{col 46}{space 3}0.000{col 54}{space 4}-1.159057{col 67}{space 3}-.3462783
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.049316{col 26}{space 2} .0664216{col 37}{space 1}  -30.85{col 46}{space 3}0.000{col 54}{space 4}-2.179627{col 67}{space 3}-1.919006
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.5211952{col 26}{space 2} .1792599{col 37}{space 1}   -2.91{col 46}{space 3}0.004{col 54}{space 4}-.8728792{col 67}{space 3}-.1695111
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} -1.93897{col 26}{space 2} .0584033{col 37}{space 1}  -33.20{col 46}{space 3}0.000{col 54}{space 4}-2.053549{col 67}{space 3} -1.82439
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.2897225{col 26}{space 2} .1640916{col 37}{space 1}   -1.77{col 46}{space 3}0.078{col 54}{space 4}-.6116483{col 67}{space 3} .0322033
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.828624{col 26}{space 2} .0515325{col 37}{space 1}  -35.48{col 46}{space 3}0.000{col 54}{space 4}-1.929723{col 67}{space 3}-1.727524
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.0582499{col 26}{space 2} .1651803{col 37}{space 1}   -0.35{col 46}{space 3}0.724{col 54}{space 4}-.3823115{col 67}{space 3} .2658118
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.718277{col 26}{space 2} .0463225{col 37}{space 1}  -37.09{col 46}{space 3}0.000{col 54}{space 4}-1.809156{col 67}{space 3}-1.627399
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1732228{col 26}{space 2} .1822349{col 37}{space 1}    0.95{col 46}{space 3}0.342{col 54}{space 4}-.1842978{col 67}{space 3} .5307433
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.607931{col 26}{space 2} .0433761{col 37}{space 1}  -37.07{col 46}{space 3}0.000{col 54}{space 4}-1.693029{col 67}{space 3}-1.522833
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .4046954{col 26}{space 2} .2114265{col 37}{space 1}    1.91{col 46}{space 3}0.056{col 54}{space 4}-.0100951{col 67}{space 3}  .819486
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.497585{col 26}{space 2} .0431594{col 37}{space 1}  -34.70{col 46}{space 3}0.000{col 54}{space 4}-1.582258{col 67}{space 3}-1.412912
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .6361681{col 26}{space 2} .2485142{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .1486164{col 67}{space 3}  1.12372
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.387238{col 26}{space 2} .0457112{col 37}{space 1}  -30.35{col 46}{space 3}0.000{col 54}{space 4}-1.476918{col 67}{space 3}-1.297559
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .8676407{col 26}{space 2} .2904893{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .2977395{col 67}{space 3} 1.437542
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.276892{col 26}{space 2} .0506145{col 37}{space 1}  -25.23{col 46}{space 3}0.000{col 54}{space 4}-1.376191{col 67}{space 3}-1.177593
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.099113{col 26}{space 2} .3355224{col 37}{space 1}    3.28{col 46}{space 3}0.001{col 54}{space 4} .4408632{col 67}{space 3} 1.757364
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.166546{col 26}{space 2} .0572684{col 37}{space 1}  -20.37{col 46}{space 3}0.000{col 54}{space 4}-1.278899{col 67}{space 3}-1.054193
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.330586{col 26}{space 2} .3825351{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .5801032{col 67}{space 3} 2.081069
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.056199{col 26}{space 2} .0651387{col 37}{space 1}  -16.21{col 46}{space 3}0.000{col 54}{space 4}-1.183993{col 67}{space 3} -.928406
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.562059{col 26}{space 2} .4308799{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .7167298{col 67}{space 3} 2.407388
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.9458531{col 26}{space 2} .0738374{col 37}{space 1}  -12.81{col 46}{space 3}0.000{col 54}{space 4}-1.090712{col 67}{space 3}-.8009941
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.793531{col 26}{space 2} .4801546{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .8515321{col 67}{space 3} 2.735531
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.8355068{col 26}{space 2} .0831047{col 37}{space 1}  -10.05{col 46}{space 3}0.000{col 54}{space 4}-.9985472{col 67}{space 3}-.6724664
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.025004{col 26}{space 2} .5300999{col 37}{space 1}    3.82{col 46}{space 3}0.000{col 54}{space 4} .9850187{col 67}{space 3} 3.064989
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.7251605{col 26}{space 2} .0927705{col 37}{space 1}   -7.82{col 46}{space 3}0.000{col 54}{space 4}-.9071639{col 67}{space 3}-.5431571
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.256477{col 26}{space 2} .5805428{col 37}{space 1}    3.89{col 46}{space 3}0.000{col 54}{space 4} 1.117529{col 67}{space 3} 3.395424
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.6148142{col 26}{space 2} .1027223{col 37}{space 1}   -5.99{col 46}{space 3}0.000{col 54}{space 4}-.8163417{col 67}{space 3}-.4132866
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.487949{col 26}{space 2}  .631364{col 37}{space 1}    3.94{col 46}{space 3}0.000{col 54}{space 4} 1.249297{col 67}{space 3} 3.726601
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.5044678{col 26}{space 2} .1128845{col 37}{space 1}   -4.47{col 46}{space 3}0.000{col 54}{space 4}-.7259322{col 67}{space 3}-.2830034
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.719422{col 26}{space 2} .6824791{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} 1.380489{col 67}{space 3} 4.058355
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.3941215{col 26}{space 2} .1232051{col 37}{space 1}   -3.20{col 46}{space 3}0.001{col 54}{space 4}-.6358335{col 67}{space 3}-.1524096
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 2.950895{col 26}{space 2} .7338266{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 1.511225{col 67}{space 3} 4.390564
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.2837752{col 26}{space 2} .1336473{col 37}{space 1}   -2.12{col 46}{space 3}0.034{col 54}{space 4}-.5459734{col 67}{space 3}-.0215771
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 3.182367{col 26}{space 2} .7853609{col 37}{space 1}    4.05{col 46}{space 3}0.000{col 54}{space 4} 1.641594{col 67}{space 3} 4.723141
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("5/5 Qs Correct") yscale(r(-3 6)) ytitle("") xscale(r(-1.75 3.5)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==3, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka3.gph", replace
{res}{txt}file {bf:dka3.gph} saved

{com}. 
. *combine graphs 
.         *note: some additional small edits for clarity done using graph editor and
.         *y-axis may need to be manually adjusted to go from -3, 6 in graph editor
. graph combine "dka0" "dka1" "dka2" "dka3", ycom cols(4) cap("y-axis 1 = predicted value of confidence gap; y-axis 2 = percent of observations across values of change in knowl. conf.", size(vsmall)) scheme(s1mono)
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka final.gph", replace
{res}{txt}file {bf:dka final.gph} saved

{com}. 
. *Figure A5
. *calculate and plot marginal effect for delta_ok
. margins overconfident, at(delta_ok=(-2(1)4) ok_w1_3=0) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:4}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.345443{col 26}{space 2} .1375946{col 37}{space 1}   17.05{col 46}{space 3}0.000{col 54}{space 4} 2.075501{col 67}{space 3} 2.615385
{txt}1#Overconf.  {c |}{col 14}{res}{space 2} 3.330055{col 26}{space 2} .1909575{col 37}{space 1}   17.44{col 46}{space 3}0.000{col 54}{space 4} 2.955422{col 67}{space 3} 3.704688
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.323003{col 26}{space 2} .0971474{col 37}{space 1}   13.62{col 46}{space 3}0.000{col 54}{space 4} 1.132413{col 67}{space 3} 1.513594
{txt}2#Overconf.  {c |}{col 14}{res}{space 2}  2.44449{col 26}{space 2}  .143179{col 37}{space 1}   17.07{col 46}{space 3}0.000{col 54}{space 4} 2.163592{col 67}{space 3} 2.725389
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3005635{col 26}{space 2} .0681478{col 37}{space 1}    4.41{col 46}{space 3}0.000{col 54}{space 4} .1668667{col 67}{space 3} .4342603
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 1.558926{col 26}{space 2} .1002744{col 37}{space 1}   15.55{col 46}{space 3}0.000{col 54}{space 4} 1.362201{col 67}{space 3} 1.755651
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.7218763{col 26}{space 2} .0674668{col 37}{space 1}  -10.70{col 46}{space 3}0.000{col 54}{space 4}-.8542372{col 67}{space 3}-.5895154
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} .6733618{col 26}{space 2} .0716163{col 37}{space 1}    9.40{col 46}{space 3}0.000{col 54}{space 4} .5328602{col 67}{space 3} .8138634
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.744316{col 26}{space 2} .0957109{col 37}{space 1}  -18.22{col 46}{space 3}0.000{col 54}{space 4}-1.932088{col 67}{space 3}-1.556544
{txt}5#Overconf.  {c |}{col 14}{res}{space 2}-.2122025{col 26}{space 2} .0756444{col 37}{space 1}   -2.81{col 46}{space 3}0.005{col 54}{space 4}-.3606067{col 67}{space 3}-.0637983
{txt}{space 10}6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.766756{col 26}{space 2} .1359064{col 37}{space 1}  -20.36{col 46}{space 3}0.000{col 54}{space 4}-3.033386{col 67}{space 3}-2.500126
{txt}6#Overconf.  {c |}{col 14}{res}{space 2}-1.097767{col 26}{space 2} .1087864{col 37}{space 1}  -10.09{col 46}{space 3}0.000{col 54}{space 4}-1.311191{col 67}{space 3}-.8843424
{txt}{space 10}7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-3.789196{col 26}{space 2} .1802267{col 37}{space 1}  -21.02{col 46}{space 3}0.000{col 54}{space 4}-4.142776{col 67}{space 3}-3.435615
{txt}7#Overconf.  {c |}{col 14}{res}{space 2}-1.983331{col 26}{space 2} .1531866{col 37}{space 1}  -12.95{col 46}{space 3}0.000{col 54}{space 4}-2.283863{col 67}{space 3}  -1.6828
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("≤2/5 Qs Correct") yscale(r(-4(2)6)) ytitle("") xscale(r(-2 4)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==0, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok0.gph", replace
{res}{txt}file {bf:dok0.gph} saved

{com}. 
. margins overconfident, at(delta_ok=(-3(1)2) ok_w1_3=1) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.623819{col 26}{space 2} .1165392{col 37}{space 1}   22.51{col 46}{space 3}0.000{col 54}{space 4} 2.395185{col 67}{space 3} 2.852454
{txt}1#Overconf.  {c |}{col 14}{res}{space 2} 4.223415{col 26}{space 2} .1853568{col 37}{space 1}   22.79{col 46}{space 3}0.000{col 54}{space 4} 3.859769{col 67}{space 3}  4.58706
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.659505{col 26}{space 2} .0876496{col 37}{space 1}   18.93{col 46}{space 3}0.000{col 54}{space 4} 1.487548{col 67}{space 3} 1.831461
{txt}2#Overconf.  {c |}{col 14}{res}{space 2} 3.240876{col 26}{space 2} .1417228{col 37}{space 1}   22.87{col 46}{space 3}0.000{col 54}{space 4} 2.962834{col 67}{space 3} 3.518917
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}   .69519{col 26}{space 2}  .060795{col 37}{space 1}   11.43{col 46}{space 3}0.000{col 54}{space 4} .5759183{col 67}{space 3} .8144617
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 2.258336{col 26}{space 2} .1028537{col 37}{space 1}   21.96{col 46}{space 3}0.000{col 54}{space 4} 2.056551{col 67}{space 3} 2.460122
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.2691246{col 26}{space 2} .0402756{col 37}{space 1}   -6.68{col 46}{space 3}0.000{col 54}{space 4}-.3481399{col 67}{space 3}-.1901093
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} 1.275797{col 26}{space 2} .0764049{col 37}{space 1}   16.70{col 46}{space 3}0.000{col 54}{space 4} 1.125901{col 67}{space 3} 1.425694
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.233439{col 26}{space 2} .0382194{col 37}{space 1}  -32.27{col 46}{space 3}0.000{col 54}{space 4}-1.308421{col 67}{space 3}-1.158458
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} .2932583{col 26}{space 2} .0765625{col 37}{space 1}    3.83{col 46}{space 3}0.000{col 54}{space 4} .1430528{col 67}{space 3} .4434638
{txt}{space 10}6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-2.197754{col 26}{space 2}  .056673{col 37}{space 1}  -38.78{col 46}{space 3}0.000{col 54}{space 4}-2.308939{col 67}{space 3}-2.086569
{txt}6#Overconf.  {c |}{col 14}{res}{space 2}-.6892808{col 26}{space 2} .1032048{col 37}{space 1}   -6.68{col 46}{space 3}0.000{col 54}{space 4}-.8917548{col 67}{space 3}-.4868069
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("3/5 Qs Correct") yscale(r(-4(2)6)) ytitle("") xscale(r(-3 2)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==1, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok1.gph", replace
{res}{txt}file {bf:dok1.gph} saved

{com}. 
. margins overconfident, at(delta_ok=(-4(1)1) ok_w1_3=2) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-4}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.785945{col 26}{space 2} .1040606{col 37}{space 1}   26.77{col 46}{space 3}0.000{col 54}{space 4} 2.581792{col 67}{space 3} 2.990098
{txt}1#Overconf.  {c |}{col 14}{res}{space 2} 5.310724{col 26}{space 2} .4054281{col 37}{space 1}   13.10{col 46}{space 3}0.000{col 54}{space 4} 4.515328{col 67}{space 3}  6.10612
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.879756{col 26}{space 2} .0791713{col 37}{space 1}   23.74{col 46}{space 3}0.000{col 54}{space 4} 1.724432{col 67}{space 3} 2.035079
{txt}2#Overconf.  {c |}{col 14}{res}{space 2}  4.23121{col 26}{space 2}  .323121{col 37}{space 1}   13.09{col 46}{space 3}0.000{col 54}{space 4}  3.59729{col 67}{space 3}  4.86513
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9735661{col 26}{space 2} .0551559{col 37}{space 1}   17.65{col 46}{space 3}0.000{col 54}{space 4} .8653576{col 67}{space 3} 1.081775
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 3.151696{col 26}{space 2}  .245624{col 37}{space 1}   12.83{col 46}{space 3}0.000{col 54}{space 4} 2.669815{col 67}{space 3} 3.633578
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0673767{col 26}{space 2} .0339238{col 37}{space 1}    1.99{col 46}{space 3}0.047{col 54}{space 4} .0008227{col 67}{space 3} .1339307
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} 2.072182{col 26}{space 2} .1792872{col 37}{space 1}   11.56{col 46}{space 3}0.000{col 54}{space 4} 1.720445{col 67}{space 3}  2.42392
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.8388127{col 26}{space 2} .0243733{col 37}{space 1}  -34.42{col 46}{space 3}0.000{col 54}{space 4}-.8866299{col 67}{space 3}-.7909955
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} .9926686{col 26}{space 2} .1408739{col 37}{space 1}    7.05{col 46}{space 3}0.000{col 54}{space 4} .7162927{col 67}{space 3} 1.269044
{txt}{space 10}6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.745002{col 26}{space 2} .0370388{col 37}{space 1}  -47.11{col 46}{space 3}0.000{col 54}{space 4}-1.817667{col 67}{space 3}-1.672337
{txt}6#Overconf.  {c |}{col 14}{res}{space 2}-.0868453{col 26}{space 2} .1530875{col 37}{space 1}   -0.57{col 46}{space 3}0.571{col 54}{space 4}-.3871826{col 67}{space 3}  .213492
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("4/5 Qs Correct") yscale(r(-4 6)) ytitle("") xscale(r(-4 1)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==2, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok2.gph", replace
{res}{txt}file {bf:dok2.gph} saved

{com}. 
.         * overconfident plot hidden in graph editor since substantively, 5/5 respondents cannot be overconfident
. margins overconfident, at(delta_ok=(-4(1)0) ok_w1_3=3) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-4}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.983756{col 26}{space 2} .1425915{col 37}{space 1}   13.91{col 46}{space 3}0.000{col 54}{space 4} 1.704011{col 67}{space 3} 2.263502
{txt}1#Overconf.  {c |}{col 14}{res}{space 2} 5.415494{col 26}{space 2} .6464401{col 37}{space 1}    8.38{col 46}{space 3}0.000{col 54}{space 4} 4.147265{col 67}{space 3} 6.683724
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.135692{col 26}{space 2} .1057743{col 37}{space 1}   10.74{col 46}{space 3}0.000{col 54}{space 4} .9281768{col 67}{space 3} 1.343207
{txt}2#Overconf.  {c |}{col 14}{res}{space 2} 4.239006{col 26}{space 2} .5177824{col 37}{space 1}    8.19{col 46}{space 3}0.000{col 54}{space 4} 3.223186{col 67}{space 3} 5.254826
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .2876276{col 26}{space 2} .0707914{col 37}{space 1}    4.06{col 46}{space 3}0.000{col 54}{space 4} .1487444{col 67}{space 3} .4265109
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 3.062517{col 26}{space 2} .3964872{col 37}{space 1}    7.72{col 46}{space 3}0.000{col 54}{space 4} 2.284662{col 67}{space 3} 3.840372
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-.5604366{col 26}{space 2} .0424499{col 37}{space 1}  -13.20{col 46}{space 3}0.000{col 54}{space 4}-.6437176{col 67}{space 3}-.4771556
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} 1.886028{col 26}{space 2} .2918823{col 37}{space 1}    6.46{col 46}{space 3}0.000{col 54}{space 4} 1.313394{col 67}{space 3} 2.458663
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}-1.408501{col 26}{space 2} .0394959{col 37}{space 1}  -35.66{col 46}{space 3}0.000{col 54}{space 4}-1.485987{col 67}{space 3}-1.331015
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} .7095398{col 26}{space 2} .2282065{col 37}{space 1}    3.11{col 46}{space 3}0.002{col 54}{space 4} .2618291{col 67}{space 3}  1.15725
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("5/5 Qs Correct") yscale(r(-4 6)) ytitle("") xscale(r(-4 0)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==3, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok3.gph", replace
{res}{txt}file {bf:dok3.gph} saved

{com}. 
. *combine graphs
. *note: some additional editing done for clarity using graph editor
. * note: y-axis may need to be manually adjusted to go from -4, 6 in graph editor
. graph combine "dok0" "dok1" "dok2" "dok3", ycom cols(4) cap("y-axis 1 = predicted value of confidence gap; y-axis 2 = percent of observations across values of change in knowl. conf.", size(vsmall)) scheme(s1mono)
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok final.gph", replace
{res}{txt}file {bf:dok final.gph} saved

{com}. 
. 
. *Repeat for absolute confidence gap
. *Table A7
. 
.         * Model 1
. 
. reg abs_subjObj_gap_w2_5 delta_ka delta_ok ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(18, 1255)     = {res}     7.19
{txt}       Model {c |} {res} 85.3601369        18  4.74222983   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 827.631425     1,255  .659467271   {txt}R-squared       ={res}    0.0935
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0805
{txt}       Total {c |} {res} 912.991562     1,273  .717196828   {txt}Root MSE        =   {res} .81208

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}abs_subj~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2}-.2223877{col 26}{space 2} .0283047{col 37}{space 1}   -7.86{col 46}{space 3}0.000{col 54}{space 4}-.2779174{col 67}{space 3} -.166858
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2}  .130381{col 26}{space 2} .0244308{col 37}{space 1}    5.34{col 46}{space 3}0.000{col 54}{space 4} .0824513{col 67}{space 3} .1783107
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} .0215494{col 26}{space 2} .0321765{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-.0415763{col 67}{space 3} .0846752
{txt}overconfid~t {c |}{col 14}{res}{space 2} -.195919{col 26}{space 2} .0722482{col 37}{space 1}   -2.71{col 46}{space 3}0.007{col 54}{space 4}-.3376597{col 67}{space 3}-.0541784
{txt}courseAtte~2 {c |}{col 14}{res}{space 2}-.0007492{col 26}{space 2} .0271267{col 37}{space 1}   -0.03{col 46}{space 3}0.978{col 54}{space 4}-.0539679{col 67}{space 3} .0524695
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}-.1142328{col 26}{space 2} .0547767{col 37}{space 1}   -2.09{col 46}{space 3}0.037{col 54}{space 4}-.2216969{col 67}{space 3}-.0067688
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0175306{col 26}{space 2} .0364003{col 37}{space 1}   -0.48{col 46}{space 3}0.630{col 54}{space 4}-.0889427{col 67}{space 3} .0538814
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} .0517923{col 26}{space 2} .0342373{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.0153764{col 67}{space 3} .1189609
{txt}{space 6}female {c |}{col 14}{res}{space 2} .2073717{col 26}{space 2} .0479581{col 37}{space 1}    4.32{col 46}{space 3}0.000{col 54}{space 4} .1132848{col 67}{space 3} .3014586
{txt}{space 4}minority {c |}{col 14}{res}{space 2} .0636991{col 26}{space 2} .0520835{col 37}{space 1}    1.22{col 46}{space 3}0.222{col 54}{space 4}-.0384813{col 67}{space 3} .1658795
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .0687507{col 26}{space 2} .0863305{col 37}{space 1}    0.80{col 46}{space 3}0.426{col 54}{space 4}-.1006174{col 67}{space 3} .2381188
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0199624{col 26}{space 2} .0865311{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1497992{col 67}{space 3} .1897241
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  -.20281{col 26}{space 2} .1255169{col 37}{space 1}   -1.62{col 46}{space 3}0.106{col 54}{space 4} -.449056{col 67}{space 3} .0434361
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0741303{col 26}{space 2} .1101971{col 37}{space 1}   -0.67{col 46}{space 3}0.501{col 54}{space 4}-.2903212{col 67}{space 3} .1420606
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1268937{col 26}{space 2} .0832989{col 37}{space 1}    1.52{col 46}{space 3}0.128{col 54}{space 4}-.0365268{col 67}{space 3} .2903142
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0474098{col 26}{space 2} .1059357{col 37}{space 1}    0.45{col 46}{space 3}0.655{col 54}{space 4}-.1604207{col 67}{space 3} .2552403
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2036298{col 26}{space 2} .2217745{col 37}{space 1}   -0.92{col 46}{space 3}0.359{col 54}{space 4}-.6387194{col 67}{space 3} .2314599
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}-.0400334{col 26}{space 2} .0661332{col 37}{space 1}   -0.61{col 46}{space 3}0.545{col 54}{space 4}-.1697772{col 67}{space 3} .0897105
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.047575{col 26}{space 2} .2080954{col 37}{space 1}    5.03{col 46}{space 3}0.000{col 54}{space 4} .6393222{col 67}{space 3} 1.455829
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m1abs
{txt}
{com}. 
.         * Model 2
. 
. reg abs_subjObj_gap_w2_5 c.delta_ka##c.ok_w1_3 c.delta_ok##c.ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(20, 1253)     = {res}     7.20
{txt}       Model {c |} {res}  94.051185        20  4.70255925   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 818.940377     1,253  .653583701   {txt}R-squared       ={res}    0.1030
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0887
{txt}       Total {c |} {res} 912.991562     1,273  .717196828   {txt}Root MSE        =   {res} .80845

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}abs_subj~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2}-.1280681{col 26}{space 2} .0541286{col 37}{space 1}   -2.37{col 46}{space 3}0.018{col 54}{space 4}-.2342608{col 67}{space 3}-.0218755
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} .0537999{col 26}{space 2}   .03768{col 37}{space 1}    1.43{col 46}{space 3}0.154{col 54}{space 4}-.0201229{col 67}{space 3} .1277227
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.0526191{col 26}{space 2} .0278684{col 37}{space 1}   -1.89{col 46}{space 3}0.059{col 54}{space 4}-.1072929{col 67}{space 3} .0020548
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2} .0321712{col 26}{space 2} .0377555{col 37}{space 1}    0.85{col 46}{space 3}0.394{col 54}{space 4}-.0418997{col 67}{space 3} .1062421
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}   .06779{col 26}{space 2} .0201687{col 37}{space 1}    3.36{col 46}{space 3}0.001{col 54}{space 4} .0282218{col 67}{space 3} .1073582
{txt}{space 12} {c |}
overconfid~t {c |}{col 14}{res}{space 2}-.1357432{col 26}{space 2}  .073952{col 37}{space 1}   -1.84{col 46}{space 3}0.067{col 54}{space 4}-.2808266{col 67}{space 3} .0093401
{txt}courseAtte~2 {c |}{col 14}{res}{space 2}-.0000358{col 26}{space 2} .0270084{col 37}{space 1}   -0.00{col 46}{space 3}0.999{col 54}{space 4}-.0530224{col 67}{space 3} .0529508
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}-.1191091{col 26}{space 2} .0546547{col 37}{space 1}   -2.18{col 46}{space 3}0.029{col 54}{space 4} -.226334{col 67}{space 3}-.0118842
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0162656{col 26}{space 2} .0362655{col 37}{space 1}   -0.45{col 46}{space 3}0.654{col 54}{space 4}-.0874135{col 67}{space 3} .0548822
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} .0501249{col 26}{space 2} .0341368{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0168467{col 67}{space 3} .1170965
{txt}{space 6}female {c |}{col 14}{res}{space 2} .2165814{col 26}{space 2} .0478193{col 37}{space 1}    4.53{col 46}{space 3}0.000{col 54}{space 4} .1227666{col 67}{space 3} .3103961
{txt}{space 4}minority {c |}{col 14}{res}{space 2} .0804516{col 26}{space 2} .0521061{col 37}{space 1}    1.54{col 46}{space 3}0.123{col 54}{space 4}-.0217733{col 67}{space 3} .1826765
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .0619063{col 26}{space 2} .0860257{col 37}{space 1}    0.72{col 46}{space 3}0.472{col 54}{space 4}-.1068639{col 67}{space 3} .2306765
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0141317{col 26}{space 2} .0861828{col 37}{space 1}    0.16{col 46}{space 3}0.870{col 54}{space 4}-.1549468{col 67}{space 3} .1832103
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2026082{col 26}{space 2} .1249629{col 37}{space 1}   -1.62{col 46}{space 3}0.105{col 54}{space 4}-.4477679{col 67}{space 3} .0425514
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0713087{col 26}{space 2} .1097076{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4}-.2865394{col 67}{space 3} .1439221
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1237236{col 26}{space 2}  .082992{col 37}{space 1}    1.49{col 46}{space 3}0.136{col 54}{space 4}-.0390951{col 67}{space 3} .2865423
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0259259{col 26}{space 2} .1057076{col 37}{space 1}    0.25{col 46}{space 3}0.806{col 54}{space 4}-.1814575{col 67}{space 3} .2333093
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2132908{col 26}{space 2} .2208009{col 37}{space 1}   -0.97{col 46}{space 3}0.334{col 54}{space 4}-.6464709{col 67}{space 3} .2198894
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}-.0212573{col 26}{space 2} .0660443{col 37}{space 1}   -0.32{col 46}{space 3}0.748{col 54}{space 4} -.150827{col 67}{space 3} .1083123
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.004651{col 26}{space 2} .2098311{col 37}{space 1}    4.79{col 46}{space 3}0.000{col 54}{space 4} .5929921{col 67}{space 3}  1.41631
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m2abs
{txt}
{com}. 
.         * Model 3 w/ 3 way interaction
. 
. reg abs_subjObj_gap_w2_5 c.delta_ka##i.overconfident##c.ok_w1_3 c.delta_ok##i.overconfident##c.ok_w1_3 courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(25, 1248)     = {res}    11.26
{txt}       Model {c |} {res} 168.063378        25  6.72253513   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 744.928184     1,248  .596897583   {txt}R-squared       ={res}    0.1841
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1677
{txt}       Total {c |} {res} 912.991562     1,273  .717196828   {txt}Root MSE        =   {res} .77259

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}abs_subj~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2}-.2532975{col 26}{space 2}  .067002{col 37}{space 1}   -3.78{col 46}{space 3}0.000{col 54}{space 4}-.3847464{col 67}{space 3}-.1218486
{txt}{space 12} {c |}
overconfid~t {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .3771453{col 26}{space 2} .1430681{col 37}{space 1}    2.64{col 46}{space 3}0.008{col 54}{space 4} .0964647{col 67}{space 3} .6578258
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .2746409{col 26}{space 2} .1102779{col 37}{space 1}    2.49{col 46}{space 3}0.013{col 54}{space 4} .0582904{col 67}{space 3} .4909914
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} .1314164{col 26}{space 2} .0417037{col 37}{space 1}    3.15{col 46}{space 3}0.002{col 54}{space 4} .0495993{col 67}{space 3} .2132334
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.0126087{col 26}{space 2} .0325369{col 37}{space 1}   -0.39{col 46}{space 3}0.698{col 54}{space 4}-.0764416{col 67}{space 3} .0512243
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.3228892{col 26}{space 2} .0956661{col 37}{space 1}   -3.38{col 46}{space 3}0.001{col 54}{space 4}-.5105734{col 67}{space 3} -.135205
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.0007185{col 26}{space 2} .0967921{col 37}{space 1}   -0.01{col 46}{space 3}0.994{col 54}{space 4}-.1906117{col 67}{space 3} .1891746
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2} .1958007{col 26}{space 2} .0521304{col 37}{space 1}    3.76{col 46}{space 3}0.000{col 54}{space 4} .0935277{col 67}{space 3} .2980736
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.3280553{col 26}{space 2} .0769021{col 37}{space 1}   -4.27{col 46}{space 3}0.000{col 54}{space 4} -.478927{col 67}{space 3}-.1771836
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2} .0405804{col 26}{space 2} .0252779{col 37}{space 1}    1.61{col 46}{space 3}0.109{col 54}{space 4}-.0090114{col 67}{space 3} .0901722
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.2741314{col 26}{space 2} .0637302{col 37}{space 1}   -4.30{col 46}{space 3}0.000{col 54}{space 4}-.3991615{col 67}{space 3}-.1491013
{txt}{space 12} {c |}
courseAtte~2 {c |}{col 14}{res}{space 2}-.0129297{col 26}{space 2} .0258906{col 37}{space 1}   -0.50{col 46}{space 3}0.618{col 54}{space 4}-.0637236{col 67}{space 3} .0378643
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}-.1568425{col 26}{space 2} .0524245{col 37}{space 1}   -2.99{col 46}{space 3}0.003{col 54}{space 4}-.2596922{col 67}{space 3}-.0539927
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0274833{col 26}{space 2} .0347604{col 37}{space 1}   -0.79{col 46}{space 3}0.429{col 54}{space 4}-.0956785{col 67}{space 3} .0407119
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} .0363849{col 26}{space 2} .0327188{col 37}{space 1}    1.11{col 46}{space 3}0.266{col 54}{space 4} -.027805{col 67}{space 3} .1005747
{txt}{space 6}female {c |}{col 14}{res}{space 2} .2201774{col 26}{space 2} .0458031{col 37}{space 1}    4.81{col 46}{space 3}0.000{col 54}{space 4} .1303178{col 67}{space 3}  .310037
{txt}{space 4}minority {c |}{col 14}{res}{space 2} .0560655{col 26}{space 2} .0500279{col 37}{space 1}    1.12{col 46}{space 3}0.263{col 54}{space 4}-.0420826{col 67}{space 3} .1542136
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .0174651{col 26}{space 2} .0823405{col 37}{space 1}    0.21{col 46}{space 3}0.832{col 54}{space 4} -.144076{col 67}{space 3} .1790062
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0011789{col 26}{space 2} .0824874{col 37}{space 1}    0.01{col 46}{space 3}0.989{col 54}{space 4}-.1606502{col 67}{space 3} .1630081
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.2152192{col 26}{space 2} .1196118{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.4498816{col 67}{space 3} .0194432
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.1019778{col 26}{space 2} .1049303{col 37}{space 1}   -0.97{col 46}{space 3}0.331{col 54}{space 4}-.3078371{col 67}{space 3} .1038814
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0898686{col 26}{space 2} .0794444{col 37}{space 1}    1.13{col 46}{space 3}0.258{col 54}{space 4}-.0659906{col 67}{space 3} .2457279
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0486089{col 26}{space 2} .1014164{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.2475744{col 67}{space 3} .1503565
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2493257{col 26}{space 2} .2119303{col 37}{space 1}   -1.18{col 46}{space 3}0.240{col 54}{space 4}-.6651047{col 67}{space 3} .1664534
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}-.0525271{col 26}{space 2} .0631965{col 37}{space 1}   -0.83{col 46}{space 3}0.406{col 54}{space 4}-.1765102{col 67}{space 3} .0714559
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.054965{col 26}{space 2} .2029345{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .6568341{col 67}{space 3} 1.453095
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m3abs
{txt}
{com}. 
.         *create table
.         *note: additional editing done in Microsoft Word
. esttab m1abs m2abs m3abs, b(2) se(2) ar2 bic star(+ 0.1 * 0.05)
{res}
{txt}{hline 54}
{txt}                      (1)           (2)           (3) 
{txt}             abs_subj~2_5  abs_subj~2_5  abs_subj~2_5 
{txt}{hline 54}
{txt}delta_ka    {res}        -0.22*        -0.13*        -0.25*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}delta_ok    {res}         0.13*         0.03          0.20*{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}ok_w1_3     {res}         0.02          0.05          0.13*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}overconfid~t{res}        -0.20*        -0.14+              {txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}               {txt}

{txt}courseAtte~2{res}        -0.00         -0.00         -0.01 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}parentEdu_w1{res}        -0.11*        -0.12*        -0.16*{txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}year_w1     {res}        -0.02         -0.02         -0.03 {txt}
            {res} {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}gpa_combo   {res}         0.05          0.05          0.04 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}female      {res}         0.21*         0.22*         0.22*{txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}minority    {res}         0.06          0.08          0.06 {txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}1.instruct~l{res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}3.instruct~l{res}         0.07          0.06          0.02 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}4.instruct~l{res}         0.02          0.01          0.00 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}6.instruct~l{res}        -0.20         -0.20         -0.22+{txt}
            {res} {ralign 12:{txt:(}0.13{txt:)}}  {ralign 12:{txt:(}0.12{txt:)}}  {ralign 12:{txt:(}0.12{txt:)}} {txt}

{txt}7.instruct~l{res}        -0.07         -0.07         -0.10 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}10.instruc~l{res}         0.13          0.12          0.09 {txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}11.instruc~l{res}         0.05          0.03         -0.05 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}12.instruc~l{res}        -0.20         -0.21         -0.25 {txt}
            {res} {ralign 12:{txt:(}0.22{txt:)}}  {ralign 12:{txt:(}0.22{txt:)}}  {ralign 12:{txt:(}0.21{txt:)}} {txt}

{txt}1.sem       {res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}2.sem       {res}        -0.04         -0.02         -0.05 {txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}c.delta_ka~3{res}                      -0.05+        -0.01 {txt}
            {res}               {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}ok_w1_3     {res}                       0.00               {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}               {txt}

{txt}c.delta_ok~3{res}                       0.07*         0.04 {txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}0.overconf~t{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~t{res}                                     0.38*{txt}
            {res}                             {ralign 12:{txt:(}0.14{txt:)}} {txt}

{txt}0.overconf~a{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~a{res}                                     0.27*{txt}
            {res}                             {ralign 12:{txt:(}0.11{txt:)}} {txt}

{txt}0.overconf~3{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~3{res}                                    -0.32*{txt}
            {res}                             {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                    -0.00 {txt}
            {res}                             {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}ok_w1_3     {res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}0.overconf~k{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~k{res}                                    -0.33*{txt}
            {res}                             {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                    -0.27*{txt}
            {res}                             {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}_cons       {res}         1.05*         1.00*         1.05*{txt}
            {res} {ralign 12:{txt:(}0.21{txt:)}}  {ralign 12:{txt:(}0.21{txt:)}}  {ralign 12:{txt:(}0.20{txt:)}} {txt}
{txt}{hline 54}
{txt}N           {res}         1274          1274          1274 {txt}
{txt}adj. R-sq   {res}        0.080         0.089         0.168 {txt}
{txt}BIC         {res}      3201.77       3202.62       3117.69 {txt}
{txt}{hline 54}
{txt}Standard errors in parentheses
{txt}+ p<0.1, * p<0.05

{com}. 
. *Figure A6 
. margins overconfident, at(delta_ka=(-1.25(0.25)4.5) ok_w1_3=0) atmeans saving(dka0, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.452474{col 26}{space 2} .1571027{col 37}{space 1}    9.25{col 46}{space 3}0.000{col 54}{space 4} 1.144259{col 67}{space 3} 1.760688
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.424518{col 26}{space 2} .1746621{col 37}{space 1}    8.16{col 46}{space 3}0.000{col 54}{space 4} 1.081854{col 67}{space 3} 1.767182
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.389149{col 26}{space 2} .1421746{col 37}{space 1}    9.77{col 46}{space 3}0.000{col 54}{space 4} 1.110222{col 67}{space 3} 1.668077
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.429854{col 26}{space 2} .1570541{col 37}{space 1}    9.10{col 46}{space 3}0.000{col 54}{space 4} 1.121734{col 67}{space 3} 1.737973
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.325825{col 26}{space 2} .1276994{col 37}{space 1}   10.38{col 46}{space 3}0.000{col 54}{space 4} 1.075296{col 67}{space 3} 1.576354
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.435189{col 26}{space 2} .1406714{col 37}{space 1}   10.20{col 46}{space 3}0.000{col 54}{space 4} 1.159211{col 67}{space 3} 1.711168
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.262501{col 26}{space 2} .1138501{col 37}{space 1}   11.09{col 46}{space 3}0.000{col 54}{space 4} 1.039142{col 67}{space 3} 1.485859
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.440525{col 26}{space 2}  .125993{col 37}{space 1}   11.43{col 46}{space 3}0.000{col 54}{space 4} 1.193344{col 67}{space 3} 1.687707
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.199176{col 26}{space 2} .1008845{col 37}{space 1}   11.89{col 46}{space 3}0.000{col 54}{space 4} 1.001254{col 67}{space 3} 1.397098
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.445861{col 26}{space 2} .1136809{col 37}{space 1}   12.72{col 46}{space 3}0.000{col 54}{space 4} 1.222834{col 67}{space 3} 1.668888
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.135852{col 26}{space 2}  .089189{col 37}{space 1}   12.74{col 46}{space 3}0.000{col 54}{space 4} .9608747{col 67}{space 3} 1.310829
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.451197{col 26}{space 2} .1045743{col 37}{space 1}   13.88{col 46}{space 3}0.000{col 54}{space 4} 1.246036{col 67}{space 3} 1.656358
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.072527{col 26}{space 2} .0793275{col 37}{space 1}   13.52{col 46}{space 3}0.000{col 54}{space 4} .9168974{col 67}{space 3} 1.228157
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.456533{col 26}{space 2} .0995569{col 37}{space 1}   14.63{col 46}{space 3}0.000{col 54}{space 4} 1.261216{col 67}{space 3}  1.65185
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.009203{col 26}{space 2} .0720567{col 37}{space 1}   14.01{col 46}{space 3}0.000{col 54}{space 4} .8678374{col 67}{space 3} 1.150569
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.461869{col 26}{space 2} .0992505{col 37}{space 1}   14.73{col 46}{space 3}0.000{col 54}{space 4} 1.267152{col 67}{space 3} 1.656585
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9458786{col 26}{space 2} .0682103{col 37}{space 1}   13.87{col 46}{space 3}0.000{col 54}{space 4} .8120591{col 67}{space 3} 1.079698
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.467205{col 26}{space 2} .1036972{col 37}{space 1}   14.15{col 46}{space 3}0.000{col 54}{space 4} 1.263764{col 67}{space 3} 1.670645
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8825542{col 26}{space 2} .0683687{col 37}{space 1}   12.91{col 46}{space 3}0.000{col 54}{space 4} .7484239{col 67}{space 3} 1.016685
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  1.47254{col 26}{space 2} .1123337{col 37}{space 1}   13.11{col 46}{space 3}0.000{col 54}{space 4} 1.252157{col 67}{space 3} 1.692924
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8192299{col 26}{space 2} .0725057{col 37}{space 1}   11.30{col 46}{space 3}0.000{col 54}{space 4} .6769833{col 67}{space 3} .9614764
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.477876{col 26}{space 2} .1242898{col 37}{space 1}   11.89{col 46}{space 3}0.000{col 54}{space 4} 1.234036{col 67}{space 3} 1.721716
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7559055{col 26}{space 2} .0800064{col 37}{space 1}    9.45{col 46}{space 3}0.000{col 54}{space 4} .5989435{col 67}{space 3} .9128675
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.483212{col 26}{space 2} .1387097{col 37}{space 1}   10.69{col 46}{space 3}0.000{col 54}{space 4} 1.211082{col 67}{space 3} 1.755342
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6925811{col 26}{space 2} .0900341{col 37}{space 1}    7.69{col 46}{space 3}0.000{col 54}{space 4} .5159462{col 67}{space 3}  .869216
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.488548{col 26}{space 2} .1549068{col 37}{space 1}    9.61{col 46}{space 3}0.000{col 54}{space 4} 1.184641{col 67}{space 3} 1.792454
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6292567{col 26}{space 2}  .101845{col 37}{space 1}    6.18{col 46}{space 3}0.000{col 54}{space 4} .4294504{col 67}{space 3} .8290631
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.493884{col 26}{space 2}  .172381{col 37}{space 1}    8.67{col 46}{space 3}0.000{col 54}{space 4} 1.155695{col 67}{space 3} 1.832072
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5659324{col 26}{space 2} .1148905{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .3405324{col 67}{space 3} .7913323
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  1.49922{col 26}{space 2} .1907816{col 37}{space 1}    7.86{col 46}{space 3}0.000{col 54}{space 4} 1.124932{col 67}{space 3} 1.873508
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  .502608{col 26}{space 2} .1287961{col 37}{space 1}    3.90{col 46}{space 3}0.000{col 54}{space 4} .2499273{col 67}{space 3} .7552887
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.504555{col 26}{space 2} .2098651{col 37}{space 1}    7.17{col 46}{space 3}0.000{col 54}{space 4} 1.092828{col 67}{space 3} 1.916283
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .4392836{col 26}{space 2} .1433114{col 37}{space 1}    3.07{col 46}{space 3}0.002{col 54}{space 4} .1581257{col 67}{space 3} .7204415
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.509891{col 26}{space 2} .2294611{col 37}{space 1}    6.58{col 46}{space 3}0.000{col 54}{space 4} 1.059719{col 67}{space 3} 1.960063
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3759592{col 26}{space 2}  .158269{col 37}{space 1}    2.38{col 46}{space 3}0.018{col 54}{space 4} .0654566{col 67}{space 3} .6864619
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.515227{col 26}{space 2}  .249449{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} 1.025841{col 67}{space 3} 2.004613
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3126349{col 26}{space 2} .1735544{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0278557{col 67}{space 3} .6531254
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.520563{col 26}{space 2} .2697416{col 37}{space 1}    5.64{col 46}{space 3}0.000{col 54}{space 4} .9913659{col 67}{space 3}  2.04976
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .2493105{col 26}{space 2} .1890882{col 37}{space 1}    1.32{col 46}{space 3}0.188{col 54}{space 4}-.1216553{col 67}{space 3} .6202763
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.525899{col 26}{space 2}  .290275{col 37}{space 1}    5.26{col 46}{space 3}0.000{col 54}{space 4} .9564179{col 67}{space 3}  2.09538
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .1859861{col 26}{space 2} .2048139{col 37}{space 1}    0.91{col 46}{space 3}0.364{col 54}{space 4}-.2158314{col 67}{space 3} .5878036
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.531235{col 26}{space 2} .3110016{col 37}{space 1}    4.92{col 46}{space 3}0.000{col 54}{space 4} .9210911{col 67}{space 3} 2.141378
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .1226617{col 26}{space 2} .2206904{col 37}{space 1}    0.56{col 46}{space 3}0.578{col 54}{space 4}-.3103034{col 67}{space 3} .5556269
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.536571{col 26}{space 2} .3318851{col 37}{space 1}    4.63{col 46}{space 3}0.000{col 54}{space 4} .8854563{col 67}{space 3} 2.187685
{txt}{space 9}23 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0593374{col 26}{space 2} .2366874{col 37}{space 1}    0.25{col 46}{space 3}0.802{col 54}{space 4}-.4050118{col 67}{space 3} .5236865
{txt}{space 9}23 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.541906{col 26}{space 2} .3528976{col 37}{space 1}    4.37{col 46}{space 3}0.000{col 54}{space 4} .8495683{col 67}{space 3} 2.234244
{txt}{space 9}24 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} -.003987{col 26}{space 2} .2527821{col 37}{space 1}   -0.02{col 46}{space 3}0.987{col 54}{space 4}-.4999118{col 67}{space 3} .4919378
{txt}{space 9}24 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.547242{col 26}{space 2} .3740175{col 37}{space 1}    4.14{col 46}{space 3}0.000{col 54}{space 4} .8134697{col 67}{space 3} 2.281015
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("≤2/5 Qs Correct") yscale(r(0 6)) ytitle("") xscale(r(-1.25 4.5)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==0, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka0abs.gph", replace
{res}{txt}file {bf:dka0abs.gph} saved

{com}. 
.         * note: y-axis needs to be manually adjusted to go from -3, 6 in graph editor
. margins overconfident, at(delta_ka=(-2.5(0.25)3.25) ok_w1_3=1) atmeans saving(dka1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.939678{col 26}{space 2} .1406863{col 37}{space 1}   13.79{col 46}{space 3}0.000{col 54}{space 4}  1.66367{col 67}{space 3} 2.215686
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.195687{col 26}{space 2} .1962079{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .8107528{col 67}{space 3}  1.58062
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.873202{col 26}{space 2} .1310244{col 37}{space 1}   14.30{col 46}{space 3}0.000{col 54}{space 4} 1.616149{col 67}{space 3} 2.130254
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.197691{col 26}{space 2} .1784691{col 37}{space 1}    6.71{col 46}{space 3}0.000{col 54}{space 4}  .847558{col 67}{space 3} 1.547823
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.806725{col 26}{space 2} .1214341{col 37}{space 1}   14.88{col 46}{space 3}0.000{col 54}{space 4} 1.568488{col 67}{space 3} 2.044963
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.199695{col 26}{space 2} .1609872{col 37}{space 1}    7.45{col 46}{space 3}0.000{col 54}{space 4} .8838592{col 67}{space 3}  1.51553
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.740249{col 26}{space 2} .1119336{col 37}{space 1}   15.55{col 46}{space 3}0.000{col 54}{space 4}  1.52065{col 67}{space 3} 1.959847
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.201699{col 26}{space 2}  .143856{col 37}{space 1}    8.35{col 46}{space 3}0.000{col 54}{space 4} .9194724{col 67}{space 3} 1.483925
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.673772{col 26}{space 2} .1025479{col 37}{space 1}   16.32{col 46}{space 3}0.000{col 54}{space 4} 1.472587{col 67}{space 3} 1.874957
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.203703{col 26}{space 2} .1272171{col 37}{space 1}    9.46{col 46}{space 3}0.000{col 54}{space 4} .9541197{col 67}{space 3} 1.453286
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.607295{col 26}{space 2} .0933118{col 37}{space 1}   17.22{col 46}{space 3}0.000{col 54}{space 4}  1.42423{col 67}{space 3} 1.790361
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.205707{col 26}{space 2} .1112917{col 37}{space 1}   10.83{col 46}{space 3}0.000{col 54}{space 4} .9873674{col 67}{space 3} 1.424046
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.540819{col 26}{space 2} .0842745{col 37}{space 1}   18.28{col 46}{space 3}0.000{col 54}{space 4} 1.375484{col 67}{space 3} 1.706154
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.207711{col 26}{space 2} .0964338{col 37}{space 1}   12.52{col 46}{space 3}0.000{col 54}{space 4} 1.018521{col 67}{space 3} 1.396901
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.474342{col 26}{space 2} .0755073{col 37}{space 1}   19.53{col 46}{space 3}0.000{col 54}{space 4} 1.326207{col 67}{space 3} 1.622478
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.209715{col 26}{space 2} .0832171{col 37}{space 1}   14.54{col 46}{space 3}0.000{col 54}{space 4} 1.046454{col 67}{space 3} 1.372976
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.407866{col 26}{space 2} .0671161{col 37}{space 1}   20.98{col 46}{space 3}0.000{col 54}{space 4} 1.276193{col 67}{space 3} 1.539539
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.211719{col 26}{space 2} .0725445{col 37}{space 1}   16.70{col 46}{space 3}0.000{col 54}{space 4} 1.069396{col 67}{space 3} 1.354042
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.341389{col 26}{space 2}  .059261{col 37}{space 1}   22.64{col 46}{space 3}0.000{col 54}{space 4} 1.225127{col 67}{space 3} 1.457651
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.213723{col 26}{space 2} .0656681{col 37}{space 1}   18.48{col 46}{space 3}0.000{col 54}{space 4} 1.084891{col 67}{space 3} 1.342555
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.274913{col 26}{space 2} .0521845{col 37}{space 1}   24.43{col 46}{space 3}0.000{col 54}{space 4} 1.172534{col 67}{space 3} 1.377292
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.215727{col 26}{space 2} .0638271{col 37}{space 1}   19.05{col 46}{space 3}0.000{col 54}{space 4} 1.090507{col 67}{space 3} 1.340947
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.208436{col 26}{space 2} .0462454{col 37}{space 1}   26.13{col 46}{space 3}0.000{col 54}{space 4} 1.117709{col 67}{space 3} 1.299164
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.217731{col 26}{space 2}  .067435{col 37}{space 1}   18.06{col 46}{space 3}0.000{col 54}{space 4} 1.085433{col 67}{space 3}  1.35003
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.14196{col 26}{space 2}   .04193{col 37}{space 1}   27.23{col 46}{space 3}0.000{col 54}{space 4} 1.059699{col 67}{space 3} 1.224221
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.219735{col 26}{space 2}  .075717{col 37}{space 1}   16.11{col 46}{space 3}0.000{col 54}{space 4} 1.071189{col 67}{space 3} 1.368282
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.075483{col 26}{space 2} .0397704{col 37}{space 1}   27.04{col 46}{space 3}0.000{col 54}{space 4} .9974589{col 67}{space 3} 1.153507
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.221739{col 26}{space 2} .0873534{col 37}{space 1}   13.99{col 46}{space 3}0.000{col 54}{space 4} 1.050363{col 67}{space 3} 1.393115
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.009007{col 26}{space 2} .0401162{col 37}{space 1}   25.15{col 46}{space 3}0.000{col 54}{space 4}  .930304{col 67}{space 3} 1.087709
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.223743{col 26}{space 2} .1011938{col 37}{space 1}   12.09{col 46}{space 3}0.000{col 54}{space 4} 1.025215{col 67}{space 3} 1.422272
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}   .94253{col 26}{space 2} .0429068{col 37}{space 1}   21.97{col 46}{space 3}0.000{col 54}{space 4} .8583526{col 67}{space 3} 1.026708
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.225747{col 26}{space 2} .1164548{col 37}{space 1}   10.53{col 46}{space 3}0.000{col 54}{space 4} .9972784{col 67}{space 3} 1.454216
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8760535{col 26}{space 2} .0477153{col 37}{space 1}   18.36{col 46}{space 3}0.000{col 54}{space 4} .7824425{col 67}{space 3} .9696646
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.227751{col 26}{space 2} .1326471{col 37}{space 1}    9.26{col 46}{space 3}0.000{col 54}{space 4} .9675153{col 67}{space 3} 1.487987
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  .809577{col 26}{space 2} .0540053{col 37}{space 1}   14.99{col 46}{space 3}0.000{col 54}{space 4} .7036258{col 67}{space 3} .9155281
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.229755{col 26}{space 2} .1494684{col 37}{space 1}    8.23{col 46}{space 3}0.000{col 54}{space 4} .9365184{col 67}{space 3} 1.522992
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7431004{col 26}{space 2} .0613226{col 37}{space 1}   12.12{col 46}{space 3}0.000{col 54}{space 4} .6227937{col 67}{space 3} .8634072
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.231759{col 26}{space 2} .1667283{col 37}{space 1}    7.39{col 46}{space 3}0.000{col 54}{space 4} .9046608{col 67}{space 3} 1.558858
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6766239{col 26}{space 2} .0693427{col 37}{space 1}    9.76{col 46}{space 3}0.000{col 54}{space 4} .5405827{col 67}{space 3} .8126651
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.233763{col 26}{space 2} .1843036{col 37}{space 1}    6.69{col 46}{space 3}0.000{col 54}{space 4} .8721843{col 67}{space 3} 1.595343
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6101473{col 26}{space 2} .0778488{col 37}{space 1}    7.84{col 46}{space 3}0.000{col 54}{space 4} .4574184{col 67}{space 3} .7628763
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.235768{col 26}{space 2} .2021122{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .8392504{col 67}{space 3} 1.632285
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5436708{col 26}{space 2} .0866979{col 37}{space 1}    6.27{col 46}{space 3}0.000{col 54}{space 4} .3735811{col 67}{space 3} .7137605
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.237772{col 26}{space 2} .2200973{col 37}{space 1}    5.62{col 46}{space 3}0.000{col 54}{space 4}   .80597{col 67}{space 3} 1.669573
{txt}{space 9}23 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .4771943{col 26}{space 2}  .095795{col 37}{space 1}    4.98{col 46}{space 3}0.000{col 54}{space 4} .2892573{col 67}{space 3} .6651312
{txt}{space 9}23 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.239776{col 26}{space 2}  .238219{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .7724217{col 67}{space 3}  1.70713
{txt}{space 9}24 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .4107177{col 26}{space 2} .1050757{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .2045733{col 67}{space 3} .6168622
{txt}{space 9}24 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  1.24178{col 26}{space 2} .2564484{col 37}{space 1}    4.84{col 46}{space 3}0.000{col 54}{space 4} .7386621{col 67}{space 3} 1.744897
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("3/5 Qs Correct") yscale(r(0 6)) ytitle("") xscale(r(-2.5 3.25)) xlabel(minmax) legend(cols(1)) yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==1, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka1abs.gph", replace
{res}{txt}file {bf:dka1abs.gph} saved

{com}. 
. margins overconfident, at(delta_ka=(-2(0.25)4) ok_w1_3=2) atmeans saving(dka2, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:23._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:24._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:25._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:4}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.971003{col 26}{space 2} .0832515{col 37}{space 1}   23.68{col 46}{space 3}0.000{col 54}{space 4} 1.807675{col 67}{space 3} 2.134332
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9908792{col 26}{space 2}   .27831{col 37}{space 1}    3.56{col 46}{space 3}0.000{col 54}{space 4}  .444872{col 67}{space 3} 1.536886
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.901375{col 26}{space 2} .0762274{col 37}{space 1}   24.94{col 46}{space 3}0.000{col 54}{space 4} 1.751827{col 67}{space 3} 2.050923
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9895515{col 26}{space 2} .2454913{col 37}{space 1}    4.03{col 46}{space 3}0.000{col 54}{space 4} .5079303{col 67}{space 3} 1.471173
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.831746{col 26}{space 2} .0692969{col 37}{space 1}   26.43{col 46}{space 3}0.000{col 54}{space 4} 1.695795{col 67}{space 3} 1.967697
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9882237{col 26}{space 2} .2135686{col 37}{space 1}    4.63{col 46}{space 3}0.000{col 54}{space 4} .5692305{col 67}{space 3} 1.407217
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.762117{col 26}{space 2} .0624911{col 37}{space 1}   28.20{col 46}{space 3}0.000{col 54}{space 4} 1.639518{col 67}{space 3} 1.884717
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9868959{col 26}{space 2} .1830117{col 37}{space 1}    5.39{col 46}{space 3}0.000{col 54}{space 4} .6278514{col 67}{space 3}  1.34594
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.692489{col 26}{space 2} .0558556{col 37}{space 1}   30.30{col 46}{space 3}0.000{col 54}{space 4} 1.582907{col 67}{space 3}  1.80207
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9855682{col 26}{space 2} .1546321{col 37}{space 1}    6.37{col 46}{space 3}0.000{col 54}{space 4} .6822005{col 67}{space 3} 1.288936
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.62286{col 26}{space 2}  .049459{col 37}{space 1}   32.81{col 46}{space 3}0.000{col 54}{space 4} 1.525828{col 67}{space 3} 1.719892
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9842404{col 26}{space 2} .1298654{col 37}{space 1}    7.58{col 46}{space 3}0.000{col 54}{space 4} .7294617{col 67}{space 3} 1.239019
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.553231{col 26}{space 2} .0434072{col 37}{space 1}   35.78{col 46}{space 3}0.000{col 54}{space 4} 1.468072{col 67}{space 3}  1.63839
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9829127{col 26}{space 2} .1111534{col 37}{space 1}    8.84{col 46}{space 3}0.000{col 54}{space 4} .7648445{col 67}{space 3} 1.200981
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.483602{col 26}{space 2} .0378656{col 37}{space 1}   39.18{col 46}{space 3}0.000{col 54}{space 4} 1.409315{col 67}{space 3}  1.55789
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9815849{col 26}{space 2} .1018883{col 37}{space 1}    9.63{col 46}{space 3}0.000{col 54}{space 4} .7816936{col 67}{space 3} 1.181476
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.413974{col 26}{space 2} .0330917{col 37}{space 1}   42.73{col 46}{space 3}0.000{col 54}{space 4} 1.349052{col 67}{space 3} 1.478895
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9802572{col 26}{space 2} .1046111{col 37}{space 1}    9.37{col 46}{space 3}0.000{col 54}{space 4} .7750241{col 67}{space 3}  1.18549
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.344345{col 26}{space 2} .0294611{col 37}{space 1}   45.63{col 46}{space 3}0.000{col 54}{space 4} 1.286546{col 67}{space 3} 1.402144
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9789294{col 26}{space 2} .1184984{col 37}{space 1}    8.26{col 46}{space 3}0.000{col 54}{space 4} .7464514{col 67}{space 3} 1.211407
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.274716{col 26}{space 2} .0274316{col 37}{space 1}   46.47{col 46}{space 3}0.000{col 54}{space 4} 1.220899{col 67}{space 3} 1.328533
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9776016{col 26}{space 2} .1402724{col 37}{space 1}    6.97{col 46}{space 3}0.000{col 54}{space 4} .7024059{col 67}{space 3} 1.252797
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.205088{col 26}{space 2} .0273616{col 37}{space 1}   44.04{col 46}{space 3}0.000{col 54}{space 4} 1.151408{col 67}{space 3} 1.258768
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9762739{col 26}{space 2}  .166874{col 37}{space 1}    5.85{col 46}{space 3}0.000{col 54}{space 4} .6488893{col 67}{space 3} 1.303658
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.135459{col 26}{space 2} .0292654{col 37}{space 1}   38.80{col 46}{space 3}0.000{col 54}{space 4} 1.078044{col 67}{space 3} 1.192874
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9749461{col 26}{space 2} .1963508{col 37}{space 1}    4.97{col 46}{space 3}0.000{col 54}{space 4}  .589732{col 67}{space 3}  1.36016
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.06583{col 26}{space 2}  .032801{col 37}{space 1}   32.49{col 46}{space 3}0.000{col 54}{space 4} 1.001479{col 67}{space 3} 1.130181
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9736184{col 26}{space 2} .2275883{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} .5271204{col 67}{space 3} 1.420116
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9962015{col 26}{space 2} .0375098{col 37}{space 1}   26.56{col 46}{space 3}0.000{col 54}{space 4} .9226123{col 67}{space 3} 1.069791
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9722906{col 26}{space 2} .2599526{col 37}{space 1}    3.74{col 46}{space 3}0.000{col 54}{space 4} .4622982{col 67}{space 3} 1.482283
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9265728{col 26}{space 2} .0430081{col 37}{space 1}   21.54{col 46}{space 3}0.000{col 54}{space 4} .8421966{col 67}{space 3} 1.010949
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9709628{col 26}{space 2} .2930706{col 37}{space 1}    3.31{col 46}{space 3}0.001{col 54}{space 4} .3959973{col 67}{space 3} 1.545928
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8569441{col 26}{space 2} .0490311{col 37}{space 1}   17.48{col 46}{space 3}0.000{col 54}{space 4} .7607515{col 67}{space 3} .9531367
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9696351{col 26}{space 2} .3267132{col 37}{space 1}    2.97{col 46}{space 3}0.003{col 54}{space 4} .3286673{col 67}{space 3} 1.610603
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7873154{col 26}{space 2}  .055408{col 37}{space 1}   14.21{col 46}{space 3}0.000{col 54}{space 4} .6786124{col 67}{space 3} .8960184
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9683073{col 26}{space 2} .3607337{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .2605959{col 67}{space 3} 1.676019
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7176867{col 26}{space 2} .0620296{col 37}{space 1}   11.57{col 46}{space 3}0.000{col 54}{space 4} .5959929{col 67}{space 3} .8393804
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9669796{col 26}{space 2} .3950344{col 37}{space 1}    2.45{col 46}{space 3}0.015{col 54}{space 4} .1919748{col 67}{space 3} 1.741984
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  .648058{col 26}{space 2} .0688254{col 37}{space 1}    9.42{col 46}{space 3}0.000{col 54}{space 4} .5130318{col 67}{space 3} .7830841
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9656518{col 26}{space 2} .4295482{col 37}{space 1}    2.25{col 46}{space 3}0.025{col 54}{space 4} .1229356{col 67}{space 3} 1.808368
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5784293{col 26}{space 2} .0757485{col 37}{space 1}    7.64{col 46}{space 3}0.000{col 54}{space 4} .4298209{col 67}{space 3} .7270376
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9643241{col 26}{space 2} .4642275{col 37}{space 1}    2.08{col 46}{space 3}0.038{col 54}{space 4} .0535715{col 67}{space 3} 1.875077
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5088006{col 26}{space 2} .0827669{col 37}{space 1}    6.15{col 46}{space 3}0.000{col 54}{space 4} .3464229{col 67}{space 3} .6711782
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9629963{col 26}{space 2}  .499038{col 37}{space 1}    1.93{col 46}{space 3}0.054{col 54}{space 4}-.0160497{col 67}{space 3} 1.942042
{txt}{space 9}23 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .4391718{col 26}{space 2} .0898584{col 37}{space 1}    4.89{col 46}{space 3}0.000{col 54}{space 4} .2628816{col 67}{space 3} .6154621
{txt}{space 9}23 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9616685{col 26}{space 2} .5339538{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0858777{col 67}{space 3} 2.009215
{txt}{space 9}24 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3695431{col 26}{space 2} .0970069{col 37}{space 1}    3.81{col 46}{space 3}0.000{col 54}{space 4} .1792285{col 67}{space 3} .5598578
{txt}{space 9}24 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .9603408{col 26}{space 2} .5689557{col 37}{space 1}    1.69{col 46}{space 3}0.092{col 54}{space 4}-.1558745{col 67}{space 3} 2.076556
{txt}{space 9}25 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .2999144{col 26}{space 2} .1042007{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0954865{col 67}{space 3} .5043423
{txt}{space 9}25 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .959013{col 26}{space 2} .6040287{col 37}{space 1}    1.59{col 46}{space 3}0.113{col 54}{space 4}-.2260107{col 67}{space 3} 2.144037
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("4/5 Qs Correct") yscale(r(0 6)) ytitle("") xscale(r(-2 4)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==2, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka2abs.gph", replace
{res}{txt}file {bf:dka2abs.gph} saved

{com}. 
. * overconfident plot hidden in graph editor since substantively, 5/5 respondents cannot be overconfident
. margins overconfident, at(delta_ka=(-1.75(0.25)3.5) ok_w1_3=3) atmeans saving(dka3, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:-.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:8._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:0}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:9._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:10._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:11._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:12._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:13._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:14._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:15._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:1.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:16._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:17._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:18._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:19._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:2.75}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:20._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:21._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.25}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 8:22._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:3.5}}
{lalign 8:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 8:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:.188383}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 8:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 9} 1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 2.062501{col 26}{space 2} .1230629{col 37}{space 1}   16.76{col 46}{space 3}0.000{col 54}{space 4} 1.821068{col 67}{space 3} 2.303934
{txt}{space 9} 1 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7774042{col 26}{space 2} .4047133{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0165893{col 67}{space 3} 1.571398
{txt}{space 9} 2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.98972{col 26}{space 2}  .112107{col 37}{space 1}   17.75{col 46}{space 3}0.000{col 54}{space 4} 1.769781{col 67}{space 3} 2.209659
{txt}{space 9} 2 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7727446{col 26}{space 2} .3543913{col 37}{space 1}    2.18{col 46}{space 3}0.029{col 54}{space 4} .0774762{col 67}{space 3} 1.468013
{txt}{space 9} 3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.916939{col 26}{space 2} .1013674{col 37}{space 1}   18.91{col 46}{space 3}0.000{col 54}{space 4}  1.71807{col 67}{space 3} 2.115808
{txt}{space 9} 3 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7680851{col 26}{space 2} .3063155{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .1671349{col 67}{space 3} 1.369035
{txt}{space 9} 4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.844158{col 26}{space 2} .0909208{col 37}{space 1}   20.28{col 46}{space 3}0.000{col 54}{space 4} 1.665784{col 67}{space 3} 2.022533
{txt}{space 9} 4 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7634255{col 26}{space 2} .2617267{col 37}{space 1}    2.92{col 46}{space 3}0.004{col 54}{space 4} .2499525{col 67}{space 3} 1.276898
{txt}{space 9} 5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.771377{col 26}{space 2} .0808807{col 37}{space 1}   21.90{col 46}{space 3}0.000{col 54}{space 4}   1.6127{col 67}{space 3} 1.930055
{txt}{space 9} 5 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7587659{col 26}{space 2} .2227292{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4}  .321801{col 67}{space 3} 1.195731
{txt}{space 9} 6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.698597{col 26}{space 2}  .071419{col 37}{space 1}   23.78{col 46}{space 3}0.000{col 54}{space 4} 1.558482{col 67}{space 3} 1.838711
{txt}{space 9} 6 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7541064{col 26}{space 2} .1927469{col 37}{space 1}    3.91{col 46}{space 3}0.000{col 54}{space 4} .3759627{col 67}{space 3}  1.13225
{txt}{space 9} 7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.625816{col 26}{space 2} .0627974{col 37}{space 1}   25.89{col 46}{space 3}0.000{col 54}{space 4} 1.502616{col 67}{space 3} 1.749016
{txt}{space 9} 7 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7494468{col 26}{space 2} .1764373{col 37}{space 1}    4.25{col 46}{space 3}0.000{col 54}{space 4} .4033004{col 67}{space 3} 1.095593
{txt}{space 9} 8 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.553035{col 26}{space 2} .0554096{col 37}{space 1}   28.03{col 46}{space 3}0.000{col 54}{space 4} 1.444329{col 67}{space 3} 1.661741
{txt}{space 9} 8 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7447873{col 26}{space 2} .1776079{col 37}{space 1}    4.19{col 46}{space 3}0.000{col 54}{space 4} .3963442{col 67}{space 3}  1.09323
{txt}{space 9} 9 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.480254{col 26}{space 2} .0498077{col 37}{space 1}   29.72{col 46}{space 3}0.000{col 54}{space 4} 1.382538{col 67}{space 3}  1.57797
{txt}{space 9} 9 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7401277{col 26}{space 2} .1959457{col 37}{space 1}    3.78{col 46}{space 3}0.000{col 54}{space 4} .3557084{col 67}{space 3} 1.124547
{txt}{space 9}10 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.407473{col 26}{space 2} .0466396{col 37}{space 1}   30.18{col 46}{space 3}0.000{col 54}{space 4} 1.315972{col 67}{space 3} 1.498974
{txt}{space 9}10 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7354681{col 26}{space 2} .2273335{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .2894701{col 67}{space 3} 1.181466
{txt}{space 9}11 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.334692{col 26}{space 2} .0464066{col 37}{space 1}   28.76{col 46}{space 3}0.000{col 54}{space 4} 1.243649{col 67}{space 3} 1.425736
{txt}{space 9}11 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7308086{col 26}{space 2} .2672116{col 37}{space 1}    2.73{col 46}{space 3}0.006{col 54}{space 4}  .206575{col 67}{space 3} 1.255042
{txt}{space 9}12 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.261911{col 26}{space 2} .0491504{col 37}{space 1}   25.67{col 46}{space 3}0.000{col 54}{space 4} 1.165485{col 67}{space 3} 1.358338
{txt}{space 9}12 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .726149{col 26}{space 2} .3123447{col 37}{space 1}    2.32{col 46}{space 3}0.020{col 54}{space 4} .1133703{col 67}{space 3} 1.338928
{txt}{space 9}13 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.18913{col 26}{space 2} .0544226{col 37}{space 1}   21.85{col 46}{space 3}0.000{col 54}{space 4} 1.082361{col 67}{space 3}   1.2959
{txt}{space 9}13 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7214894{col 26}{space 2}  .360766{col 37}{space 1}    2.00{col 46}{space 3}0.046{col 54}{space 4} .0137146{col 67}{space 3} 1.429264
{txt}{space 9}14 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.11635{col 26}{space 2} .0615771{col 37}{space 1}   18.13{col 46}{space 3}0.000{col 54}{space 4} .9955435{col 67}{space 3} 1.237156
{txt}{space 9}14 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7168299{col 26}{space 2} .4113158{col 37}{space 1}    1.74{col 46}{space 3}0.082{col 54}{space 4}-.0901169{col 67}{space 3} 1.523777
{txt}{space 9}15 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.043569{col 26}{space 2} .0700395{col 37}{space 1}   14.90{col 46}{space 3}0.000{col 54}{space 4} .9061605{col 67}{space 3} 1.180977
{txt}{space 9}15 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7121703{col 26}{space 2} .4632979{col 37}{space 1}    1.54{col 46}{space 3}0.125{col 54}{space 4}-.1967584{col 67}{space 3} 1.621099
{txt}{space 9}16 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9707878{col 26}{space 2} .0793926{col 37}{space 1}   12.23{col 46}{space 3}0.000{col 54}{space 4}   .81503{col 67}{space 3} 1.126546
{txt}{space 9}16 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7075108{col 26}{space 2} .5162799{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.3053615{col 67}{space 3} 1.720383
{txt}{space 9}17 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8980069{col 26}{space 2} .0893573{col 37}{space 1}   10.05{col 46}{space 3}0.000{col 54}{space 4} .7226999{col 67}{space 3} 1.073314
{txt}{space 9}17 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .7028512{col 26}{space 2} .5699829{col 37}{space 1}    1.23{col 46}{space 3}0.218{col 54}{space 4}-.4153793{col 67}{space 3} 1.821082
{txt}{space 9}18 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  .825226{col 26}{space 2} .0997503{col 37}{space 1}    8.27{col 46}{space 3}0.000{col 54}{space 4} .6295293{col 67}{space 3} 1.020923
{txt}{space 9}18 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .6981916{col 26}{space 2}  .624221{col 37}{space 1}    1.12{col 46}{space 3}0.264{col 54}{space 4}-.5264467{col 67}{space 3}  1.92283
{txt}{space 9}19 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7524452{col 26}{space 2} .1104508{col 37}{space 1}    6.81{col 46}{space 3}0.000{col 54}{space 4} .5357553{col 67}{space 3}  .969135
{txt}{space 9}19 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .6935321{col 26}{space 2} .6788659{col 37}{space 1}    1.02{col 46}{space 3}0.307{col 54}{space 4}-.6383122{col 67}{space 3} 2.025376
{txt}{space 9}20 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6796643{col 26}{space 2} .1213776{col 37}{space 1}    5.60{col 46}{space 3}0.000{col 54}{space 4} .4415376{col 67}{space 3}  .917791
{txt}{space 9}20 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .6888725{col 26}{space 2} .7338267{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.7507975{col 67}{space 3} 2.128543
{txt}{space 9}21 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6068834{col 26}{space 2} .1324746{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4} .3469858{col 67}{space 3}  .866781
{txt}{space 9}21 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .684213{col 26}{space 2} .7890374{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.8637731{col 67}{space 3} 2.232199
{txt}{space 9}22 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5341025{col 26}{space 2} .1437025{col 37}{space 1}    3.72{col 46}{space 3}0.000{col 54}{space 4} .2521774{col 67}{space 3} .8160276
{txt}{space 9}22 #{c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .6795534{col 26}{space 2} .8444489{col 37}{space 1}    0.80{col 46}{space 3}0.421{col 54}{space 4}-.9771428{col 67}{space 3}  2.33625
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("5/5 Qs Correct") yscale(r(0 6)) ytitle("") xscale(r(-1.75 3.5)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ka if ok_w1_3==3, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ka overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka3abs.gph", replace
{res}{txt}file {bf:dka3abs.gph} saved

{com}. 
. *combine graphs
. *note: some additional small edits for clarity done using graph editor
. * note: y-axis may need to be manually adjusted to go from -3, 6 in graph editor
. graph combine "dka0abs" "dka1abs" "dka2abs" "dka3abs", ycom cols(4) cap("y-axis 1 = predicted value of abs. conf. gap; y-axis 2 = percent of observations across values of change in knowl. conf.", size(vsmall)) scheme(s1mono)
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dka final abs.gph", replace
{res}{txt}file {bf:dka final abs.gph} saved

{com}. 
. *Figure A7
. *for obj. knowledge changes
. margins overconfident, at(delta_ok=(-2(1)4) ok_w1_3=0) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:7._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:4}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .5579512{col 26}{space 2} .1479468{col 37}{space 1}    3.77{col 46}{space 3}0.000{col 54}{space 4} .2676993{col 67}{space 3}  .848203
{txt}1#Overconf.  {c |}{col 14}{res}{space 2} 1.753211{col 26}{space 2} .2053245{col 37}{space 1}    8.54{col 46}{space 3}0.000{col 54}{space 4} 1.350391{col 67}{space 3}  2.15603
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .7537519{col 26}{space 2} .1044565{col 37}{space 1}    7.22{col 46}{space 3}0.000{col 54}{space 4} .5488222{col 67}{space 3} .9586815
{txt}2#Overconf.  {c |}{col 14}{res}{space 2} 1.620956{col 26}{space 2} .1539514{col 37}{space 1}   10.53{col 46}{space 3}0.000{col 54}{space 4} 1.318924{col 67}{space 3} 1.922988
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9495525{col 26}{space 2}  .073275{col 37}{space 1}   12.96{col 46}{space 3}0.000{col 54}{space 4} .8057968{col 67}{space 3} 1.093308
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 1.488701{col 26}{space 2} .1078187{col 37}{space 1}   13.81{col 46}{space 3}0.000{col 54}{space 4} 1.277176{col 67}{space 3} 1.700227
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.145353{col 26}{space 2} .0725428{col 37}{space 1}   15.79{col 46}{space 3}0.000{col 54}{space 4} 1.003034{col 67}{space 3} 1.287672
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} 1.356447{col 26}{space 2} .0770045{col 37}{space 1}   17.62{col 46}{space 3}0.000{col 54}{space 4} 1.205374{col 67}{space 3} 1.507519
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.341154{col 26}{space 2} .1029119{col 37}{space 1}   13.03{col 46}{space 3}0.000{col 54}{space 4} 1.139254{col 67}{space 3} 1.543053
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} 1.224192{col 26}{space 2} .0813356{col 37}{space 1}   15.05{col 46}{space 3}0.000{col 54}{space 4} 1.064622{col 67}{space 3} 1.383762
{txt}{space 10}6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.536954{col 26}{space 2} .1461315{col 37}{space 1}   10.52{col 46}{space 3}0.000{col 54}{space 4} 1.250264{col 67}{space 3} 1.823645
{txt}6#Overconf.  {c |}{col 14}{res}{space 2} 1.091937{col 26}{space 2} .1169712{col 37}{space 1}    9.34{col 46}{space 3}0.000{col 54}{space 4} .8624556{col 67}{space 3} 1.321419
{txt}{space 10}7 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.732755{col 26}{space 2} .1937864{col 37}{space 1}    8.94{col 46}{space 3}0.000{col 54}{space 4} 1.352572{col 67}{space 3} 2.112938
{txt}7#Overconf.  {c |}{col 14}{res}{space 2} .9596828{col 26}{space 2} .1647119{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} .6365401{col 67}{space 3} 1.282826
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("≤2/5 Qs Correct") yscale(r(0(1)6)) ytitle("") xscale(r(-2 4)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==0, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok0abs.gph", replace
{res}{txt}file {bf:dok0abs.gph} saved

{com}. 
. margins overconfident, at(delta_ok=(-3(1)2) ok_w1_3=1) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3643882{col 26}{space 2} .1253073{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .1185521{col 67}{space 3} .6102244
{txt}1#Overconf.  {c |}{col 14}{res}{space 2} 2.386784{col 26}{space 2} .1993024{col 37}{space 1}   11.98{col 46}{space 3}0.000{col 54}{space 4}  1.99578{col 67}{space 3} 2.777789
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6007693{col 26}{space 2} .0942441{col 37}{space 1}    6.37{col 46}{space 3}0.000{col 54}{space 4} .4158749{col 67}{space 3} .7856636
{txt}2#Overconf.  {c |}{col 14}{res}{space 2} 2.020979{col 26}{space 2} .1523856{col 37}{space 1}   13.26{col 46}{space 3}0.000{col 54}{space 4} 1.722018{col 67}{space 3} 2.319939
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .8371503{col 26}{space 2}  .065369{col 37}{space 1}   12.81{col 46}{space 3}0.000{col 54}{space 4}  .708905{col 67}{space 3} .9653956
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 1.655173{col 26}{space 2} .1105921{col 37}{space 1}   14.97{col 46}{space 3}0.000{col 54}{space 4} 1.438206{col 67}{space 3}  1.87214
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.073531{col 26}{space 2} .0433058{col 37}{space 1}   24.79{col 46}{space 3}0.000{col 54}{space 4} .9885712{col 67}{space 3} 1.158492
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} 1.289367{col 26}{space 2} .0821534{col 37}{space 1}   15.69{col 46}{space 3}0.000{col 54}{space 4} 1.128193{col 67}{space 3} 1.450541
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.309912{col 26}{space 2} .0410949{col 37}{space 1}   31.88{col 46}{space 3}0.000{col 54}{space 4}  1.22929{col 67}{space 3} 1.390535
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} .9235615{col 26}{space 2} .0823229{col 37}{space 1}   11.22{col 46}{space 3}0.000{col 54}{space 4}  .762055{col 67}{space 3} 1.085068
{txt}{space 10}6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.546293{col 26}{space 2} .0609369{col 37}{space 1}   25.38{col 46}{space 3}0.000{col 54}{space 4} 1.426743{col 67}{space 3} 1.665843
{txt}6#Overconf.  {c |}{col 14}{res}{space 2} .5577558{col 26}{space 2} .1109696{col 37}{space 1}    5.03{col 46}{space 3}0.000{col 54}{space 4} .3400483{col 67}{space 3} .7754633
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("3/5 Qs Correct") yscale(r(0(1)6)) ytitle("") xscale(r(-3 2)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==1, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok1abs.gph", replace
{res}{txt}file {bf:dok1abs.gph} saved

{com}. 
. margins overconfident, at(delta_ok=(-4(1)1) ok_w1_3=2) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-4}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:6._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:2}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0896645{col 26}{space 2} .1118898{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-.1298483{col 67}{space 3} .3091773
{txt}1#Overconf.  {c |}{col 14}{res}{space 2}  3.48746{col 26}{space 2} .4359312{col 37}{space 1}    8.00{col 46}{space 3}0.000{col 54}{space 4} 2.632221{col 67}{space 3} 4.342699
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3666259{col 26}{space 2} .0851279{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .1996162{col 67}{space 3} .5336355
{txt}2#Overconf.  {c |}{col 14}{res}{space 2} 2.888103{col 26}{space 2} .3474316{col 37}{space 1}    8.31{col 46}{space 3}0.000{col 54}{space 4} 2.206489{col 67}{space 3} 3.569718
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6435873{col 26}{space 2} .0593057{col 37}{space 1}   10.85{col 46}{space 3}0.000{col 54}{space 4} .5272375{col 67}{space 3} .7599371
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 2.288746{col 26}{space 2}  .264104{col 37}{space 1}    8.67{col 46}{space 3}0.000{col 54}{space 4}  1.77061{col 67}{space 3} 2.806883
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .9205487{col 26}{space 2} .0364761{col 37}{space 1}   25.24{col 46}{space 3}0.000{col 54}{space 4} .8489874{col 67}{space 3} .9921101
{txt}4#Overconf.  {c |}{col 14}{res}{space 2}  1.68939{col 26}{space 2} .1927762{col 37}{space 1}    8.76{col 46}{space 3}0.000{col 54}{space 4} 1.311188{col 67}{space 3} 2.067591
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2}  1.19751{col 26}{space 2} .0262071{col 37}{space 1}   45.69{col 46}{space 3}0.000{col 54}{space 4} 1.146095{col 67}{space 3} 1.248925
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} 1.090033{col 26}{space 2} .1514728{col 37}{space 1}    7.20{col 46}{space 3}0.000{col 54}{space 4} .7928635{col 67}{space 3} 1.387202
{txt}{space 10}6 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.474472{col 26}{space 2} .0398254{col 37}{space 1}   37.02{col 46}{space 3}0.000{col 54}{space 4} 1.396339{col 67}{space 3} 1.552604
{txt}6#Overconf.  {c |}{col 14}{res}{space 2} .4906762{col 26}{space 2} .1646053{col 37}{space 1}    2.98{col 46}{space 3}0.003{col 54}{space 4} .1677425{col 67}{space 3}   .81361
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) recastci(rcap) level(95) title("4/5 Qs Correct") yscale(r(0(1)6)) ytitle("") xscale(r(-4 1)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==2, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok2abs.gph", replace
{res}{txt}file {bf:dok2abs.gph} saved

{com}. 
.         * overconfident plot hidden in graph editor since substantively, 5/5 respondents cannot be overconfident
. margins overconfident, at(delta_ok=(-4(1)0) ok_w1_3=3) atmeans saving(dok1, replace)
{res}
{txt}{col 1}Adjusted predictions{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,274}
{txt}{col 1}Model VCE: {res:OLS}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Linear prediction, predict()}{p_end}
{p2colreset}{...}
{lalign 7:1._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-4}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:2._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-3}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:3._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-2}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:4._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:-1}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}
{lalign 7:5._at: }{space 0}{lalign 16:delta_ka} = {res:{ralign 8:.5898744}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:0.overconfident} = {res:{ralign 8:.8233909}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.overconfident} = {res:{ralign 8:.1766091}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:ok_w1_3} = {res:{ralign 8:3}}
{lalign 7:}{space 0}{lalign 16:delta_ok} = {res:{ralign 8:0}}
{lalign 7:}{space 0}{lalign 16:courseAttendan~2} = {res:{ralign 8:2.6146}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:parentEdu_w1} = {res:{ralign 8:.7346939}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:year_w1} = {res:{ralign 8:2.269231}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:gpa_combo} = {res:{ralign 8:3.563579}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:female} = {res:{ralign 8:.5981162}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:minority} = {res:{ralign 8:.3092622}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.instructor_f~l} = {res:{ralign 8:.1562009}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:3.instructor_f~l} = {res:{ralign 8:.2990581}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:4.instructor_f~l} = {res:{ralign 8:.1483516}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:6.instructor_f~l} = {res:{ralign 8:.05573}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:7.instructor_f~l} = {res:{ralign 8:.0816327}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:10.instructor_~l} = {res:{ralign 8:.177394}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:11.instructor_~l} = {res:{ralign 8:.0698587}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:12.instructor_~l} = {res:{ralign 8:.0117739}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:1.sem} = {res:{ralign 8:.6577708}} {txt:(mean)}
{lalign 7:}{space 0}{lalign 16:2.sem} = {res:{ralign 8:.3422292}} {txt:(mean)}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at#{c |}
overconfid~t {c |}
{space 10}1 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .0513218{col 26}{space 2} .1533197{col 37}{space 1}    0.33{col 46}{space 3}0.738{col 54}{space 4} -.249471{col 67}{space 3} .3521145
{txt}1#Overconf.  {c |}{col 14}{res}{space 2}  4.22233{col 26}{space 2} .6950762{col 37}{space 1}    6.07{col 46}{space 3}0.000{col 54}{space 4} 2.858683{col 67}{space 3} 5.585977
{txt}{space 10}2 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .3688636{col 26}{space 2} .1137324{col 37}{space 1}    3.24{col 46}{space 3}0.001{col 54}{space 4} .1457357{col 67}{space 3} .5919914
{txt}2#Overconf.  {c |}{col 14}{res}{space 2} 3.389422{col 26}{space 2} .5567387{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} 2.297175{col 67}{space 3} 4.481669
{txt}{space 10}3 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} .6864054{col 26}{space 2} .0761175{col 37}{space 1}    9.02{col 46}{space 3}0.000{col 54}{space 4}  .537073{col 67}{space 3} .8357378
{txt}3#Overconf.  {c |}{col 14}{res}{space 2} 2.556514{col 26}{space 2} .4263176{col 37}{space 1}    6.00{col 46}{space 3}0.000{col 54}{space 4} 1.720136{col 67}{space 3} 3.392893
{txt}{space 10}4 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.003947{col 26}{space 2} .0456437{col 37}{space 1}   22.00{col 46}{space 3}0.000{col 54}{space 4} .9144004{col 67}{space 3} 1.093494
{txt}4#Overconf.  {c |}{col 14}{res}{space 2} 1.723607{col 26}{space 2} .3138426{col 37}{space 1}    5.49{col 46}{space 3}0.000{col 54}{space 4} 1.107889{col 67}{space 3} 2.339324
{txt}{space 10}5 #{c |}
{space 1}Underconf.  {c |}{col 14}{res}{space 2} 1.321489{col 26}{space 2} .0424675{col 37}{space 1}   31.12{col 46}{space 3}0.000{col 54}{space 4} 1.238174{col 67}{space 3} 1.404804
{txt}5#Overconf.  {c |}{col 14}{res}{space 2} .8906987{col 26}{space 2}  .245376{col 37}{space 1}    3.63{col 46}{space 3}0.000{col 54}{space 4} .4093037{col 67}{space 3} 1.372094
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, recast(connected) recastci(rcap) level(95) title("5/5 Qs Correct") yscale(r(0(1)6)) ytitle("") xscale(r(-4 0)) xlabel(minmax) legend(cols(1))  yline(0) plotregion(fcolor(white) lcolor(gs10) lwidth(med)) addplot(hist delta_ok if ok_w1_3==3, recast(area) blcolor(black) fcolor(black%25) percent yaxis(2) yscale(alt lcolor() axis(2)) ylabel(0 "0%" 25 "25%" 50 "50%" 75 "75%" 100 "100%", labcolor() axis(2) tlcolor(black) tlwidth(thin) labsize(small) tl(0)) ytitle(" ", axis(2))) scheme(s1mono)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:delta_ok overconfident}{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok3abs.gph", replace
{res}{txt}file {bf:dok3abs.gph} saved

{com}. 
. *combine graphs together
. *note: some additional editing done for clarity using graph editor
. * note: y-axis may need to be manually adjusted to go from -4, 6 in graph editor
. graph combine "dok0abs" "dok1abs" "dok2abs" "dok3abs", ycom cols(4) cap("y-axis 1 = predicted value of abs. conf. gap; y-axis 2 = percent of observations across values of change in knowl. conf.", size(vsmall)) scheme(s1mono)
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. graph save "Graph" "dok final abs.gph", replace
{res}{txt}file {bf:dok final abs.gph} saved

{com}. 
. **Part G: Using Overconfidence as the Primary Moderator Variable
. *some moderate correlations between versions of variables
. corr subjObj_gap_w2_5 delta_ka delta_ok ok_w1_3 overconfident
{txt}(obs=1,313)

             {c |} subj~2_5 delta_ka delta_ok  ok_w1_3 overco~t
{hline 13}{c +}{hline 45}
subjObj_~2_5 {c |}{res}   1.0000
    {txt}delta_ka {c |}{res}   0.2885   1.0000
    {txt}delta_ok {c |}{res}  -0.4131   0.0965   1.0000
     {txt}ok_w1_3 {c |}{res}  -0.2045  -0.0951  -0.5522   1.0000
{txt}overconfid~t {c |}{res}   0.2975  -0.2127   0.3003  -0.4820   1.0000

{txt}
{com}. 
. *rerun base model and obtain vifs
. reg subjObj_gap_w2_5 delta_ka delta_ok ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(18, 1255)     = {res}   152.01
{txt}       Model {c |} {res} 1455.74287        18  80.8746036   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 667.697676     1,255  .532030021   {txt}R-squared       ={res}    0.6856
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6810
{txt}       Total {c |} {res} 2123.44054     1,273  1.66806013   {txt}Root MSE        =   {res}  .7294

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .6254087{col 26}{space 2} .0254232{col 37}{space 1}   24.60{col 46}{space 3}0.000{col 54}{space 4} .5755321{col 67}{space 3} .6752853
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9240984{col 26}{space 2} .0219436{col 37}{space 1}  -42.11{col 46}{space 3}0.000{col 54}{space 4}-.9671487{col 67}{space 3}-.8810482
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} -.564912{col 26}{space 2} .0289009{col 37}{space 1}  -19.55{col 46}{space 3}0.000{col 54}{space 4}-.6216113{col 67}{space 3}-.5082127
{txt}overconfid~t {c |}{col 14}{res}{space 2} 1.398597{col 26}{space 2} .0648931{col 37}{space 1}   21.55{col 46}{space 3}0.000{col 54}{space 4} 1.271286{col 67}{space 3} 1.525908
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0438196{col 26}{space 2} .0243651{col 37}{space 1}    1.80{col 46}{space 3}0.072{col 54}{space 4}-.0039813{col 67}{space 3} .0916205
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0619305{col 26}{space 2} .0492003{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0345934{col 67}{space 3} .1584543
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0198621{col 26}{space 2} .0326946{col 37}{space 1}   -0.61{col 46}{space 3}0.544{col 54}{space 4}-.0840042{col 67}{space 3}   .04428
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} -.027549{col 26}{space 2} .0307518{col 37}{space 1}   -0.90{col 46}{space 3}0.371{col 54}{space 4}-.0878796{col 67}{space 3} .0327817
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.2476866{col 26}{space 2} .0430758{col 37}{space 1}   -5.75{col 46}{space 3}0.000{col 54}{space 4}-.3321952{col 67}{space 3}-.1631781
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1610841{col 26}{space 2} .0467813{col 37}{space 1}   -3.44{col 46}{space 3}0.001{col 54}{space 4}-.2528622{col 67}{space 3} -.069306
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2101559{col 26}{space 2} .0775418{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0580301{col 67}{space 3} .3622818
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1402598{col 26}{space 2}  .077722{col 37}{space 1}    1.80{col 46}{space 3}0.071{col 54}{space 4}-.0122195{col 67}{space 3} .2927391
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1025975{col 26}{space 2} .1127388{col 37}{space 1}    0.91{col 46}{space 3}0.363{col 54}{space 4}-.1185799{col 67}{space 3} .3237749
{txt}{space 10}7  {c |}{col 14}{res}{space 2}   .28713{col 26}{space 2} .0989787{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0929481{col 67}{space 3}  .481312
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .172423{col 26}{space 2} .0748188{col 37}{space 1}    2.30{col 46}{space 3}0.021{col 54}{space 4} .0256392{col 67}{space 3} .3192067
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0733788{col 26}{space 2} .0951511{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.1132939{col 67}{space 3} .2600515
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0645789{col 26}{space 2} .1991971{col 37}{space 1}    0.32{col 46}{space 3}0.746{col 54}{space 4}-.3262171{col 67}{space 3}  .455375
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .0876273{col 26}{space 2} .0594007{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.0289083{col 67}{space 3} .2041628
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.0876959{col 26}{space 2} .1869106{col 37}{space 1}   -0.47{col 46}{space 3}0.639{col 54}{space 4}-.4543875{col 67}{space 3} .2789957
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. vif, uncentered

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
{space 4}delta_ka {c |} {res}     1.69    0.593152
{txt}{space 4}delta_ok {c |} {res}     1.52    0.660030
{txt}{space 5}ok_w1_3 {c |} {res}     7.97    0.125461
{txt}overconfid~t {c |} {res}     1.78    0.561508
{txt}courseAtte~2 {c |} {res}    10.87    0.092020
{txt}parentEdu_w1 {c |} {res}     4.26    0.234815
{txt}{space 5}year_w1 {c |} {res}    14.56    0.068698
{txt}{space 3}gpa_combo {c |} {res}    29.93    0.033408
{txt}{space 6}female {c |} {res}     2.66    0.376283
{txt}{space 4}minority {c |} {res}     1.62    0.617016
{txt}instructor~l {c |}
{space 10}3  {c |} {res}     4.31    0.232241
{txt}{space 10}4  {c |} {res}     2.15    0.466001
{txt}{space 10}6  {c |} {res}     1.70    0.589564
{txt}{space 10}7  {c |} {res}     1.92    0.522179
{txt}{space 9}10  {c |} {res}     2.38    0.420539
{txt}{space 9}11  {c |} {res}     1.51    0.660266
{txt}{space 9}12  {c |} {res}     1.12    0.893879
{txt}{space 7}2.sem {c |} {res}     2.89    0.345834
{txt}{space 7}_cons {c |} {res}    83.66    0.011954
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     9.39
{txt}
{com}. *no vifs over 10 for key variables
. *though there is some significant multicollinearity between control variables
. 
. *rerun models using overconfident as primary moderator variable to reduce multicollinearity
. reg subjObj_gap_w2_5 delta_ka delta_ok overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(17, 1256)     = {res}   106.24
{txt}       Model {c |} {res} 1252.47144        17  73.6747905   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 870.969103     1,256  .693446738   {txt}R-squared       ={res}    0.5898
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5843
{txt}       Total {c |} {res} 2123.44054     1,273  1.66806013   {txt}Root MSE        =   {res} .83273

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .7120448{col 26}{space 2} .0285802{col 37}{space 1}   24.91{col 46}{space 3}0.000{col 54}{space 4} .6559746{col 67}{space 3}  .768115
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2}-.7205197{col 26}{space 2} .0220507{col 37}{space 1}  -32.68{col 46}{space 3}0.000{col 54}{space 4}-.7637799{col 67}{space 3}-.6772595
{txt}overconfid~t {c |}{col 14}{res}{space 2} 1.947967{col 26}{space 2}  .066777{col 37}{space 1}   29.17{col 46}{space 3}0.000{col 54}{space 4}  1.81696{col 67}{space 3} 2.078974
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0369259{col 26}{space 2} .0278139{col 37}{space 1}    1.33{col 46}{space 3}0.185{col 54}{space 4}-.0176409{col 67}{space 3} .0914928
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} -.009154{col 26}{space 2} .0560165{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-.1190503{col 67}{space 3} .1007423
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0583865{col 26}{space 2} .0372584{col 37}{space 1}   -1.57{col 46}{space 3}0.117{col 54}{space 4} -.131482{col 67}{space 3}  .014709
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0903165{col 26}{space 2} .0349163{col 37}{space 1}   -2.59{col 46}{space 3}0.010{col 54}{space 4}-.1588173{col 67}{space 3}-.0218158
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.1733409{col 26}{space 2}  .048986{col 37}{space 1}   -3.54{col 46}{space 3}0.000{col 54}{space 4}-.2694444{col 67}{space 3}-.0772374
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.0825646{col 26}{space 2} .0532112{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4}-.1869573{col 67}{space 3} .0218281
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2}  .160245{col 26}{space 2} .0884787{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0133374{col 67}{space 3} .3338274
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1873744{col 26}{space 2} .0886897{col 37}{space 1}    2.11{col 46}{space 3}0.035{col 54}{space 4}  .013378{col 67}{space 3} .3613707
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1198084{col 26}{space 2} .1280527{col 37}{space 1}   -0.94{col 46}{space 3}0.350{col 54}{space 4}-.3710293{col 67}{space 3} .1314124
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .199638{col 26}{space 2} .1128849{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0218257{col 67}{space 3} .4211017
{txt}{space 9}10  {c |}{col 14}{res}{space 2}  .149778{col 26}{space 2} .0854078{col 37}{space 1}    1.75{col 46}{space 3}0.080{col 54}{space 4}-.0177796{col 67}{space 3} .3173356
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0145969{col 26}{space 2}  .108509{col 37}{space 1}   -0.13{col 46}{space 3}0.893{col 54}{space 4}-.2274758{col 67}{space 3} .1982819
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0938828{col 26}{space 2} .2272279{col 37}{space 1}   -0.41{col 46}{space 3}0.680{col 54}{space 4}-.5396708{col 67}{space 3} .3519052
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1132606{col 26}{space 2} .0677991{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4}-.0197514{col 67}{space 3} .2462725
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.9165622{col 26}{space 2}  .207825{col 37}{space 1}   -4.41{col 46}{space 3}0.000{col 54}{space 4}-1.324285{col 67}{space 3}-.5088398
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m1_no_ok
{txt}
{com}. 
. reg subjObj_gap_w2_5 c.delta_ka##i.overconfident c.delta_ok##i.overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(19, 1254)     = {res}    98.49
{txt}       Model {c |} {res} 1271.42738        19  66.9172303   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 852.013166     1,254  .679436336   {txt}R-squared       ={res}    0.5988
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.5927
{txt}       Total {c |} {res} 2123.44054     1,273  1.66806013   {txt}Root MSE        =   {res} .82428

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .6564032{col 26}{space 2}  .031016{col 37}{space 1}   21.16{col 46}{space 3}0.000{col 54}{space 4} .5955543{col 67}{space 3} .7172521
{txt}{space 12} {c |}
overconfid~t {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.994231{col 26}{space 2} .0761534{col 37}{space 1}   26.19{col 46}{space 3}0.000{col 54}{space 4} 1.844829{col 67}{space 3} 2.143634
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .3217773{col 26}{space 2} .0741248{col 37}{space 1}    4.34{col 46}{space 3}0.000{col 54}{space 4}  .176355{col 67}{space 3} .4671996
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2}   -.6766{col 26}{space 2} .0250206{col 37}{space 1}  -27.04{col 46}{space 3}0.000{col 54}{space 4}-.7256868{col 67}{space 3}-.6275132
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.1929007{col 26}{space 2} .0513077{col 37}{space 1}   -3.76{col 46}{space 3}0.000{col 54}{space 4}-.2935592{col 67}{space 3}-.0922423
{txt}{space 12} {c |}
courseAtte~2 {c |}{col 14}{res}{space 2} .0335661{col 26}{space 2} .0275432{col 37}{space 1}    1.22{col 46}{space 3}0.223{col 54}{space 4}-.0204698{col 67}{space 3}  .087602
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}-.0193444{col 26}{space 2} .0554846{col 37}{space 1}   -0.35{col 46}{space 3}0.727{col 54}{space 4}-.1281973{col 67}{space 3} .0895085
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0566382{col 26}{space 2} .0368939{col 37}{space 1}   -1.54{col 46}{space 3}0.125{col 54}{space 4}-.1290188{col 67}{space 3} .0157424
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0946667{col 26}{space 2} .0345747{col 37}{space 1}   -2.74{col 46}{space 3}0.006{col 54}{space 4}-.1624973{col 67}{space 3}-.0268361
{txt}{space 6}female {c |}{col 14}{res}{space 2}-.1686878{col 26}{space 2} .0485239{col 37}{space 1}   -3.48{col 46}{space 3}0.001{col 54}{space 4}-.2638848{col 67}{space 3}-.0734909
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.0792343{col 26}{space 2} .0527495{col 37}{space 1}   -1.50{col 46}{space 3}0.133{col 54}{space 4}-.1827214{col 67}{space 3} .0242527
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .1489955{col 26}{space 2} .0876402{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4}-.0229422{col 67}{space 3} .3209331
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1736267{col 26}{space 2} .0878346{col 37}{space 1}    1.98{col 46}{space 3}0.048{col 54}{space 4} .0013078{col 67}{space 3} .3459456
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1024655{col 26}{space 2} .1267964{col 37}{space 1}   -0.81{col 46}{space 3}0.419{col 54}{space 4}-.3512219{col 67}{space 3} .1462909
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .1893604{col 26}{space 2} .1117659{col 37}{space 1}    1.69{col 46}{space 3}0.090{col 54}{space 4}-.0299083{col 67}{space 3} .4086291
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1423443{col 26}{space 2} .0845524{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0235354{col 67}{space 3}  .308224
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0469447{col 26}{space 2} .1077784{col 37}{space 1}   -0.44{col 46}{space 3}0.663{col 54}{space 4}-.2583906{col 67}{space 3} .1645012
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1005846{col 26}{space 2} .2250629{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.5421259{col 67}{space 3} .3409567
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1170899{col 26}{space 2}  .067115{col 37}{space 1}    1.74{col 46}{space 3}0.081{col 54}{space 4}-.0145802{col 67}{space 3} .2487599
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.8492103{col 26}{space 2} .2061177{col 37}{space 1}   -4.12{col 46}{space 3}0.000{col 54}{space 4}-1.253584{col 67}{space 3}-.4448366
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3_no_ok
{txt}
{com}. 
. reg abs_subjObj_gap_w2_5 delta_ka delta_ok overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(17, 1256)     = {res}     7.59
{txt}       Model {c |} {res}  85.064345        17    5.003785   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 827.927217     1,256  .659177721   {txt}R-squared       ={res}    0.0932
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0809
{txt}       Total {c |} {res} 912.991562     1,273  .717196828   {txt}Root MSE        =   {res}  .8119

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}abs_subj~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2}-.2256926{col 26}{space 2} .0278651{col 37}{space 1}   -8.10{col 46}{space 3}0.000{col 54}{space 4}-.2803598{col 67}{space 3}-.1710254
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2} .1226152{col 26}{space 2} .0214989{col 37}{space 1}    5.70{col 46}{space 3}0.000{col 54}{space 4} .0804375{col 67}{space 3} .1647929
{txt}overconfid~t {c |}{col 14}{res}{space 2}-.2168756{col 26}{space 2} .0651061{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.3446043{col 67}{space 3} -.089147
{txt}courseAtte~2 {c |}{col 14}{res}{space 2}-.0004862{col 26}{space 2} .0271179{col 37}{space 1}   -0.02{col 46}{space 3}0.986{col 54}{space 4}-.0536877{col 67}{space 3} .0527152
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}-.1115212{col 26}{space 2} .0546149{col 37}{space 1}   -2.04{col 46}{space 3}0.041{col 54}{space 4}-.2186677{col 67}{space 3}-.0043747
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0160611{col 26}{space 2} .0363261{col 37}{space 1}   -0.44{col 46}{space 3}0.658{col 54}{space 4}-.0873276{col 67}{space 3} .0552054
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} .0541866{col 26}{space 2} .0340426{col 37}{space 1}    1.59{col 46}{space 3}0.112{col 54}{space 4}-.0126001{col 67}{space 3} .1209733
{txt}{space 6}female {c |}{col 14}{res}{space 2} .2045357{col 26}{space 2} .0477603{col 37}{space 1}    4.28{col 46}{space 3}0.000{col 54}{space 4} .1108369{col 67}{space 3} .2982344
{txt}{space 4}minority {c |}{col 14}{res}{space 2} .0607038{col 26}{space 2} .0518798{col 37}{space 1}    1.17{col 46}{space 3}0.242{col 54}{space 4}-.0410767{col 67}{space 3} .1624844
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .0706547{col 26}{space 2} .0862648{col 37}{space 1}    0.82{col 46}{space 3}0.413{col 54}{space 4}-.0985843{col 67}{space 3} .2398936
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0181652{col 26}{space 2} .0864705{col 37}{space 1}    0.21{col 46}{space 3}0.834{col 54}{space 4}-.1514774{col 67}{space 3} .1878078
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1943259{col 26}{space 2} .1248486{col 37}{space 1}   -1.56{col 46}{space 3}0.120{col 54}{space 4}-.4392607{col 67}{space 3} .0506088
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0707928{col 26}{space 2} .1100602{col 37}{space 1}   -0.64{col 46}{space 3}0.520{col 54}{space 4} -.286715{col 67}{space 3} .1451293
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1277575{col 26}{space 2} .0832707{col 37}{space 1}    1.53{col 46}{space 3}0.125{col 54}{space 4}-.0356074{col 67}{space 3} .2911225
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0507658{col 26}{space 2} .1057938{col 37}{space 1}    0.48{col 46}{space 3}0.631{col 54}{space 4}-.1567864{col 67}{space 3} .2583179
{txt}{space 9}12  {c |}{col 14}{res}{space 2} -.197585{col 26}{space 2} .2215421{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-.6322184{col 67}{space 3} .2370484
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}-.0410112{col 26}{space 2} .0661026{col 37}{space 1}   -0.62{col 46}{space 3}0.535{col 54}{space 4}-.1706949{col 67}{space 3} .0886725
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.079194{col 26}{space 2} .2026247{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .6816735{col 67}{space 3} 1.476714
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m1_no_ok_abs
{txt}
{com}. 
. reg abs_subjObj_gap_w2_5 c.delta_ka##i.overconfident c.delta_ok##i.overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo female minority i.instructor_final i.sem

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,274
{txt}{hline 13}{c +}{hline 34}   F(19, 1254)     = {res}    11.77
{txt}       Model {c |} {res} 138.174725        19  7.27235393   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 774.816837     1,254  .617876266   {txt}R-squared       ={res}    0.1513
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.1385
{txt}       Total {c |} {res} 912.991562     1,273  .717196828   {txt}Root MSE        =   {res} .78605

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}abs_subj~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2}-.2961884{col 26}{space 2} .0295775{col 37}{space 1}  -10.01{col 46}{space 3}0.000{col 54}{space 4}-.3542153{col 67}{space 3}-.2381615
{txt}{space 12} {c |}
overconfid~t {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.0471738{col 26}{space 2} .0726216{col 37}{space 1}   -0.65{col 46}{space 3}0.516{col 54}{space 4} -.189647{col 67}{space 3} .0952994
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .4049416{col 26}{space 2} .0706871{col 37}{space 1}    5.73{col 46}{space 3}0.000{col 54}{space 4} .2662637{col 67}{space 3} .5436196
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2} .2162103{col 26}{space 2} .0238602{col 37}{space 1}    9.06{col 46}{space 3}0.000{col 54}{space 4} .1694001{col 67}{space 3} .2630206
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.4023312{col 26}{space 2} .0489282{col 37}{space 1}   -8.22{col 46}{space 3}0.000{col 54}{space 4}-.4983213{col 67}{space 3} -.306341
{txt}{space 12} {c |}
courseAtte~2 {c |}{col 14}{res}{space 2}-.0071417{col 26}{space 2} .0262658{col 37}{space 1}   -0.27{col 46}{space 3}0.786{col 54}{space 4}-.0586715{col 67}{space 3} .0443882
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2}-.1293934{col 26}{space 2} .0529114{col 37}{space 1}   -2.45{col 46}{space 3}0.015{col 54}{space 4}-.2331979{col 67}{space 3}-.0255888
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0157461{col 26}{space 2} .0351828{col 37}{space 1}   -0.45{col 46}{space 3}0.655{col 54}{space 4}-.0847698{col 67}{space 3} .0532777
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} .0460298{col 26}{space 2} .0329712{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4} -.018655{col 67}{space 3} .1107146
{txt}{space 6}female {c |}{col 14}{res}{space 2}  .207751{col 26}{space 2} .0462735{col 37}{space 1}    4.49{col 46}{space 3}0.000{col 54}{space 4} .1169691{col 67}{space 3}  .298533
{txt}{space 4}minority {c |}{col 14}{res}{space 2} .0733345{col 26}{space 2} .0503031{col 37}{space 1}    1.46{col 46}{space 3}0.145{col 54}{space 4}-.0253531{col 67}{space 3}  .172022
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .0463091{col 26}{space 2} .0835757{col 37}{space 1}    0.55{col 46}{space 3}0.580{col 54}{space 4}-.1176545{col 67}{space 3} .2102727
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.0066664{col 26}{space 2}  .083761{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-.1709935{col 67}{space 3} .1576608
{txt}{space 10}6  {c |}{col 14}{res}{space 2}-.1650853{col 26}{space 2} .1209158{col 37}{space 1}   -1.37{col 46}{space 3}0.172{col 54}{space 4}-.4023049{col 67}{space 3} .0721343
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.0911691{col 26}{space 2} .1065824{col 37}{space 1}   -0.86{col 46}{space 3}0.393{col 54}{space 4}-.3002686{col 67}{space 3} .1179304
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1161793{col 26}{space 2}  .080631{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.0420073{col 67}{space 3} .2743658
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.0179132{col 26}{space 2} .1027799{col 37}{space 1}   -0.17{col 46}{space 3}0.862{col 54}{space 4}-.2195527{col 67}{space 3} .1837263
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.1877669{col 26}{space 2} .2146249{col 37}{space 1}   -0.87{col 46}{space 3}0.382{col 54}{space 4}-.6088304{col 67}{space 3} .2332967
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}-.0342977{col 26}{space 2} .0640023{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-.1598612{col 67}{space 3} .0912658
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.191706{col 26}{space 2} .1965585{col 37}{space 1}    6.06{col 46}{space 3}0.000{col 54}{space 4} .8060859{col 67}{space 3} 1.577325
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3_no_ok_abs
{txt}
{com}. 
. *Table A9
. esttab m1_no_ok m3_no_ok m1_no_ok_abs m3_no_ok_abs, b(2) se(2) ar2 bic star(+ 0.1 * 0.05)
{res}
{txt}{hline 68}
{txt}                      (1)           (2)           (3)           (4) 
{txt}             subjObj_~2_5  subjObj_~2_5  abs_subj~2_5  abs_subj~2_5 
{txt}{hline 68}
{txt}delta_ka    {res}         0.71*         0.66*        -0.23*        -0.30*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}delta_ok    {res}        -0.72*        -0.68*         0.12*         0.22*{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}overconfid~t{res}         1.95*                      -0.22*              {txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}                {ralign 12:{txt:(}0.07{txt:)}}               {txt}

{txt}courseAtte~2{res}         0.04          0.03         -0.00         -0.01 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}parentEdu_w1{res}        -0.01         -0.02         -0.11*        -0.13*{txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}year_w1     {res}        -0.06         -0.06         -0.02         -0.02 {txt}
            {res} {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}gpa_combo   {res}        -0.09*        -0.09*         0.05          0.05 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}female      {res}        -0.17*        -0.17*         0.20*         0.21*{txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}minority    {res}        -0.08         -0.08          0.06          0.07 {txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}1.instruct~l{res}         0.00          0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}3.instruct~l{res}         0.16+         0.15+         0.07          0.05 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}4.instruct~l{res}         0.19*         0.17*         0.02         -0.01 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}6.instruct~l{res}        -0.12         -0.10         -0.19         -0.17 {txt}
            {res} {ralign 12:{txt:(}0.13{txt:)}}  {ralign 12:{txt:(}0.13{txt:)}}  {ralign 12:{txt:(}0.12{txt:)}}  {ralign 12:{txt:(}0.12{txt:)}} {txt}

{txt}7.instruct~l{res}         0.20+         0.19+        -0.07         -0.09 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}} {txt}

{txt}10.instruc~l{res}         0.15+         0.14+         0.13          0.12 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}11.instruc~l{res}        -0.01         -0.05          0.05         -0.02 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}12.instruc~l{res}        -0.09         -0.10         -0.20         -0.19 {txt}
            {res} {ralign 12:{txt:(}0.23{txt:)}}  {ralign 12:{txt:(}0.23{txt:)}}  {ralign 12:{txt:(}0.22{txt:)}}  {ralign 12:{txt:(}0.21{txt:)}} {txt}

{txt}1.sem       {res}         0.00          0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}2.sem       {res}         0.11+         0.12+        -0.04         -0.03 {txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}0.overconf~t{res}                       0.00                        0.00 {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}                {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~t{res}                       1.99*                      -0.05 {txt}
            {res}               {ralign 12:{txt:(}0.08{txt:)}}                {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}0.overconf~a{res}                       0.00                        0.00 {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}                {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~a{res}                       0.32*                       0.40*{txt}
            {res}               {ralign 12:{txt:(}0.07{txt:)}}                {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}0.overconf~k{res}                       0.00                        0.00 {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}                {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~k{res}                      -0.19*                      -0.40*{txt}
            {res}               {ralign 12:{txt:(}0.05{txt:)}}                {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}_cons       {res}        -0.92*        -0.85*         1.08*         1.19*{txt}
            {res} {ralign 12:{txt:(}0.21{txt:)}}  {ralign 12:{txt:(}0.21{txt:)}}  {ralign 12:{txt:(}0.20{txt:)}}  {ralign 12:{txt:(}0.20{txt:)}} {txt}
{txt}{hline 68}
{txt}N           {res}         1274          1274          1274          1274 {txt}
{txt}adj. R-sq   {res}        0.584         0.593         0.081         0.138 {txt}
{txt}BIC         {res}      3259.64       3245.90       3195.07       3124.91 {txt}
{txt}{hline 68}
{txt}Standard errors in parentheses
{txt}+ p<0.1, * p<0.05

{com}. 
. *also see if ttests replicate using overconfidence instead of objective knowledge
. *results of these tests reported in Table A8
. 
. *directional gap reduces for both groups
. by overconfident, sort : ttest subjObj_gap_w1_5 == subjObj_gap_w2_5 if obsType==3

{txt}{hline}
-> overconfident = Underconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}  1,081{col 22}-1.462072{col 34}  .028766{col 46}  .945785{col 58}-1.518516{col 70}-1.405629
{txt}subj~2_5 {c |}{res}{col 12}  1,081{col 22}-.8145236{col 34} .0359897{col 46} 1.183289{col 58}-.8851412{col 70} -.743906
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,081{col 22}-.6475486{col 34} .0372041{col 46} 1.223219{col 58}-.7205492{col 70} -.574548
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res}-17.4053
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1080

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> overconfident = Overconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subj~1_5 {c |}{res}{col 12}    232{col 22} .9116379{col 34} .0470107{col 46} .7160455{col 58} .8190134{col 70} 1.004262
{txt}subj~2_5 {c |}{res}{col 12}    232{col 22} .1885776{col 34}  .093305{col 46} 1.421179{col 58}   .00474{col 70} .3724151
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    232{col 22} .7230603{col 34} .0897326{col 46} 1.366766{col 58} .5462615{col 70} .8998592
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1_5{txt} - {res}subjObj_gap_w2_5{txt})       t = {res}  8.0579
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     231

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. *absolute gaps
. by overconfident, sort : ttest abs_subjObj_gap_w1_5 == abs_subjObj_gap_w2_5 if obsType==3

{txt}{hline}
-> overconfident = Underconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}  1,081{col 22} 1.462072{col 34}  .028766{col 46}  .945785{col 58} 1.405629{col 70} 1.518516
{txt}abs_~2_5 {c |}{res}{col 12}  1,081{col 22} 1.169288{col 34} .0253694{col 46} .8341082{col 58} 1.119509{col 70} 1.219067
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,081{col 22} .2927845{col 34} .0322278{col 46} 1.059605{col 58} .2295482{col 70} .3560207
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res}  9.0848
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1080

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000

{txt}{hline}
-> overconfident = Overconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_~1_5 {c |}{res}{col 12}    232{col 22} .9116379{col 34} .0470107{col 46} .7160455{col 58} .8190134{col 70} 1.004262
{txt}abs_~2_5 {c |}{res}{col 12}    232{col 22} 1.123922{col 34} .0582354{col 46} .8870149{col 58} 1.009182{col 70} 1.238663
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    232{col 22}-.2122845{col 34} .0678349{col 46}  1.03323{col 58}-.3459387{col 70}-.0786303
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjObj_~1_5{txt} - {res}abs_subjObj_~2_5{txt})       t = {res} -3.1294
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     231

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0010         {txt}Pr(|T| > |t|) = {res}0.0020          {txt}Pr(T > t) = {res}0.9990
{txt}
{com}. 
. *but due to significant gains in obj. knowledge for the underconfident
. *no significant gain in obj. knowledge for the overconfident
. by overconfident, sort : ttest ok_correct_w1 == ok_correct_w2 if obsType==3

{txt}{hline}
-> overconfident = Underconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}  1,083{col 22} 3.951985{col 34} .0269883{col 46} .8881554{col 58}  3.89903{col 70}  4.00494
{txt}ok_cor~2 {c |}{res}{col 12}  1,083{col 22} 3.980609{col 34} .0296562{col 46} .9759553{col 58} 3.922419{col 70}   4.0388
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,083{col 22}-.0286242{col 34} .0316269{col 46} 1.040809{col 58}-.0906812{col 70} .0334328
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res} -0.9051
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1082

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.1828         {txt}Pr(|T| > |t|) = {res}0.3656          {txt}Pr(T > t) = {res}0.8172

{txt}{hline}
-> overconfident = Overconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
ok_cor~1 {c |}{res}{col 12}    234{col 22} 2.538462{col 34} .0685432{col 46}  1.04851{col 58} 2.403418{col 70} 2.673505
{txt}ok_cor~2 {c |}{res}{col 12}    234{col 22} 3.470085{col 34}   .07736{col 46}  1.18338{col 58} 3.317671{col 70}   3.6225
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    234{col 22}-.9316239{col 34} .0829231{col 46} 1.268479{col 58}-1.094999{col 70}-.7682491
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}ok_correct_w1{txt} - {res}ok_correct_w2{txt})             t = {res}-11.2348
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     233

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *and gains in knowledge confidence for both
. by overconfident, sort : ttest k_scale_w1a == k_scale_w2a if obsType==3

{txt}{hline}
-> overconfident = Underconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}  1,081{col 22} 2.490749{col 34} .0284812{col 46} .9364197{col 58} 2.434865{col 70} 2.546634
{txt}k_sca~2a {c |}{res}{col 12}  1,081{col 22}   3.1716{col 34} .0284813{col 46}  .936425{col 58} 3.115715{col 70} 3.227485
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,081{col 22}-.6808511{col 34} .0257755{col 46}   .84746{col 58}-.7314267{col 70}-.6302754
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res}-26.4147
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1080

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000

{txt}{hline}
-> overconfident = Overconf.

Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
k_sca~1a {c |}{res}{col 12}    232{col 22} 3.450431{col 34} .0619507{col 46} .9436045{col 58}  3.32837{col 70} 3.572492
{txt}k_sca~2a {c |}{res}{col 12}    232{col 22} 3.649784{col 34} .0633177{col 46} .9644268{col 58}  3.52503{col 70} 3.774539
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}    232{col 22}-.1993534{col 34} .0544847{col 46} .8298866{col 58} -.306704{col 70}-.0920029
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}k_scale_w1a{txt} - {res}k_scale_w2a{txt})                 t = {res} -3.6589
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}     231

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0002         {txt}Pr(|T| > |t|) = {res}0.0003          {txt}Pr(T > t) = {res}0.9998
{txt}
{com}. 
. 
. **Part H: Analyzing the Confidence Gap by Topic**
. *first place knowledge confidence for each topic on a 0 1 scale
. gen k_parties_w1_01 = k_parties_w1/4
{txt}(1 missing value generated)

{com}. gen k_laws_w1_01 = k_laws_w1/4
{txt}
{com}. gen k_constitution_w1_01 = k_constitution_w1/4
{txt}
{com}. gen k_elections_w1_01 = k_elections_w1/4
{txt}
{com}. gen k_branches_w1_01 = k_branches_w1/4
{txt}
{com}. gen k_parties_w2_01 = k_parties_w2/4
{txt}
{com}. gen k_laws_w2_01 = k_laws_w2/4
{txt}
{com}. gen k_constitution_w2_01 = k_constitution_w2/4
{txt}(3 missing values generated)

{com}. gen k_elections_w2_01 = k_elections_w2/4
{txt}
{com}. gen k_branches_w2_01 = k_branches_w2/4
{txt}
{com}. 
. *then generate gap measure using gaps for each item
. gen subjObj_gap_w1_parties = (k_parties_w1_01 - ok_parties_w1_correct)
{txt}(1 missing value generated)

{com}. gen subjObj_gap_w2_parties = (k_parties_w2_01 - ok_parties_w2_correct)
{txt}
{com}. gen subjObj_gap_w2_elections = (k_elections_w2_01 - ok_elections_w2_correct)
{txt}
{com}. gen subjObj_gap_w1_elections = (k_elections_w1_01 - ok_elections_w1_correct)
{txt}
{com}. gen subjObj_gap_w1_laws = (k_laws_w1_01 - ok_laws_w1_correct)
{txt}
{com}. gen subjObj_gap_w2_laws = (k_laws_w2_01 - ok_laws_w2_correct)
{txt}
{com}. gen subjObj_gap_w2_constitution = (k_constitution_w2_01 - ok_constitution_w2_correct)
{txt}(3 missing values generated)

{com}. gen subjObj_gap_w1_constitution = (k_constitution_w1_01 - ok_constitution_w1_correct)
{txt}
{com}. gen subjObj_gap_w1_branches = (k_branches_w1_01 - ok_branches_w1_correct)
{txt}
{com}. gen subjObj_gap_w2_branches = (k_branches_w2_01 - ok_branches_w2_correct)
{txt}
{com}. 
. *create absolute gaps by topic
. gen abs_subjObj_gap_w1_laws=abs(subjObj_gap_w1_laws)
{txt}
{com}. gen abs_subjObj_gap_w2_laws=abs(subjObj_gap_w2_laws)
{txt}
{com}. gen abs_subjObj_gap_w1_elections=abs(subjObj_gap_w1_elections)
{txt}
{com}. gen abs_subjObj_gap_w2_elections=abs(subjObj_gap_w2_elections)
{txt}
{com}. gen abs_subjObj_gap_w1_constitution=abs(subjObj_gap_w1_constitution)
{txt}
{com}. gen abs_subjObj_gap_w2_constitution=abs(subjObj_gap_w2_constitution)
{txt}(3 missing values generated)

{com}. gen abs_subjObj_gap_w1_branches=abs(subjObj_gap_w1_branches)
{txt}
{com}. gen abs_subjObj_gap_w2_branches=abs(subjObj_gap_w2_branches)
{txt}
{com}. gen abs_subjObj_gap_w1_parties=abs(subjObj_gap_w1_parties)
{txt}(1 missing value generated)

{com}. gen abs_subjObj_gap_w2_parties=abs(subjObj_gap_w2_parties)
{txt}
{com}. 
. *Table A10
. *ttests for directional gap by item 
. ttest subjObj_gap_w1_laws == subjObj_gap_w2_laws

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
s~1_laws {c |}{res}{col 12}  1,317{col 22}-.2010251{col 34}  .013959{col 46} .5065799{col 58}-.2284094{col 70}-.1736407
{txt}s~2_laws {c |}{res}{col 12}  1,317{col 22}-.1689446{col 34} .0126457{col 46} .4589202{col 58}-.1937526{col 70}-.1441366
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22}-.0320805{col 34} .0162396{col 46} .5893444{col 58}-.0639389{col 70}-.0002221
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_g~1_laws{txt} - {res}subjObj_g~2_laws{txt})       t = {res} -1.9754
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0242         {txt}Pr(|T| > |t|) = {res}0.0484          {txt}Pr(T > t) = {res}0.9758
{txt}
{com}. ttest subjObj_gap_w1_elections == subjObj_gap_w2_elections

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subjOb.. {c |}{res}{col 12}  1,317{col 22} .0575171{col 34} .0150598{col 46} .5465285{col 58} .0279732{col 70}  .087061
{txt}subjOb.. {c |}{res}{col 12}  1,317{col 22} .1203493{col 34} .0148349{col 46} .5383645{col 58} .0912467{col 70} .1494518
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22}-.0628322{col 34} .0171053{col 46} .6207611{col 58}-.0963889{col 70}-.0292755
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subj~1_elections{txt} - {res}subj~2_elections{txt})       t = {res} -3.6733
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0001         {txt}Pr(|T| > |t|) = {res}0.0002          {txt}Pr(T > t) = {res}0.9999
{txt}
{com}. ttest subjObj_gap_w1_constitution == subjObj_gap_w2_constitution

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subjOb.. {c |}{res}{col 12}  1,314{col 22} -.408105{col 34} .0096629{col 46} .3502705{col 58}-.4270614{col 70}-.3891487
{txt}subjOb.. {c |}{res}{col 12}  1,314{col 22}-.3133562{col 34} .0093021{col 46} .3371943{col 58}-.3316048{col 70}-.2951075
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,314{col 22}-.0947489{col 34} .0114567{col 46} .4152957{col 58}-.1172243{col 70}-.0722734
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjObj_gap_w1~n{txt} - {res}subjObj_gap_w2~n{txt})       t = {res} -8.2702
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1313

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest subjObj_gap_w1_branches == subjObj_gap_w2_branches

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subjOb.. {c |}{res}{col 12}  1,317{col 22}-.1560364{col 34} .0130422{col 46} .4733069{col 58}-.1816222{col 70}-.1304507
{txt}subjOb.. {c |}{res}{col 12}  1,317{col 22}-.0512528{col 34} .0128776{col 46} .4673337{col 58}-.0765157{col 70}  -.02599
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22}-.1047836{col 34} .0162788{col 46}  .590766{col 58}-.1367188{col 70}-.0728484
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjO~1_branches{txt} - {res}subjO~2_branches{txt})       t = {res} -6.4368
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest subjObj_gap_w1_parties == subjObj_gap_w2_parties

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
subjOb.. {c |}{res}{col 12}  1,316{col 22}-.3335866{col 34} .0106201{col 46} .3852612{col 58}-.3544208{col 70}-.3127525
{txt}subjOb.. {c |}{res}{col 12}  1,316{col 22}-.2215046{col 34} .0099421{col 46} .3606673{col 58}-.2410087{col 70}-.2020004
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,316{col 22}-.1120821{col 34} .0112036{col 46} .4064292{col 58}-.1340609{col 70}-.0901032
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}subjOb~1_parties{txt} - {res}subjOb~2_parties{txt})       t = {res}-10.0041
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1315

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *Table A11
. *ttests for absolute gap by item
. ttest abs_subjObj_gap_w1_laws == abs_subjObj_gap_w2_laws

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
a~1_laws {c |}{res}{col 12}  1,317{col 22} .4876614{col 34} .0066972{col 46} .2430446{col 58}  .474523{col 70} .5007997
{txt}a~2_laws {c |}{res}{col 12}  1,317{col 22} .4240699{col 34} .0067045{col 46} .2433102{col 58} .4109172{col 70} .4372226
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22} .0635915{col 34} .0086227{col 46} .3129205{col 58} .0466758{col 70} .0805072
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_subjO~1_laws{txt} - {res}abs_subjO~2_laws{txt})       t = {res}  7.3749
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest abs_subjObj_gap_w1_elections == abs_subjObj_gap_w2_elections

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_su.. {c |}{res}{col 12}  1,317{col 22} .4869021{col 34} .0070118{col 46}  .254461{col 58} .4731466{col 70} .5006575
{txt}abs_su.. {c |}{res}{col 12}  1,317{col 22} .4730448{col 34} .0078128{col 46} .2835311{col 58} .4577179{col 70} .4883717
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22} .0138573{col 34} .0094586{col 46} .3432586{col 58}-.0046984{col 70} .0324129
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_~1_elections{txt} - {res}abs_~2_elections{txt})       t = {res}  1.4650
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}0.9284         {txt}Pr(|T| > |t|) = {res}0.1431          {txt}Pr(T > t) = {res}0.0716
{txt}
{com}. ttest abs_subjObj_gap_w1_constitution == abs_subjObj_gap_w2_constitution

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_su.. {c |}{res}{col 12}  1,314{col 22} .4804033{col 34} .0066668{col 46} .2416667{col 58} .4673246{col 70} .4934821
{txt}abs_su.. {c |}{res}{col 12}  1,314{col 22} .3913623{col 34}  .006683{col 46} .2422515{col 58} .3782518{col 70} .4044727
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,314{col 22} .0890411{col 34} .0074529{col 46} .2701614{col 58} .0744202{col 70}  .103662
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}a~1_constitution{txt} - {res}a~2_constitution{txt})       t = {res} 11.9472
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1313

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest abs_subjObj_gap_w1_branches == abs_subjObj_gap_w2_branches

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_su.. {c |}{res}{col 12}  1,317{col 22} .4221716{col 34} .0072916{col 46} .2646147{col 58} .4078672{col 70}  .436476
{txt}abs_su.. {c |}{res}{col 12}  1,317{col 22} .3807897{col 34} .0075924{col 46} .2755334{col 58} .3658951{col 70} .3956843
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,317{col 22} .0413819{col 34} .0090195{col 46} .3273207{col 58} .0236878{col 70}  .059076
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_s~1_branches{txt} - {res}abs_s~2_branches{txt})       t = {res}  4.5881
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1316

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest abs_subjObj_gap_w1_parties == abs_subjObj_gap_w2_parties

{txt}Paired t test
{hline 9}{c TT}{hline 68}
Variable{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. err.{col 47}Std. dev.{col 59}[95% conf. interval]
{hline 9}{c +}{hline 68}
abs_su.. {c |}{res}{col 12}  1,316{col 22} .4285714{col 34} .0075983{col 46} .2756406{col 58} .4136654{col 70} .4434775
{txt}abs_su.. {c |}{res}{col 12}  1,316{col 22} .3351064{col 34} .0071246{col 46} .2584586{col 58} .3211295{col 70} .3490833
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 12}  1,316{col 22}  .093465{col 34} .0078265{col 46} .2839212{col 58} .0781112{col 70} .1088189
{txt}{hline 9}{c BT}{hline 68}
     mean(diff) = mean({res}abs_su~1_parties{txt} - {res}abs_su~2_parties{txt})       t = {res} 11.9421
{txt} H0: mean(diff) = 0                              Degrees of freedom = {res}    1315

 {txt}Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. 
. **Additional Analysese in Appendix**
. 
. *For footnote 3 in Part A of Appendix re: gender coding
. *re-run models with 1 = male + transgender + other; 0 = female
. gen malePlus = 1 if gender_other==1
{txt}(791 missing values generated)

{com}. replace malePlus = 1 if gender_other==3
{txt}(3 real changes made)

{com}. replace malePlus = 1 if gender_other==4
{txt}(10 real changes made)

{com}. replace malePlus = 0 if gender_other==2 
{txt}(777 real changes made)

{com}. 
. * Model 1 w/ malePlus *
. reg subjObj_gap_w2_5 delta_ka delta_ok ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo malePlus minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,285
{txt}{hline 13}{c +}{hline 34}   F(18, 1266)     = {res}   152.78
{txt}       Model {c |} {res}  1461.5449        18  81.1969387   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 672.836135     1,266  .531466141   {txt}R-squared       ={res}    0.6848
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6803
{txt}       Total {c |} {res} 2134.38103     1,284  1.66229052   {txt}Root MSE        =   {res} .72902

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .6251227{col 26}{space 2} .0252807{col 37}{space 1}   24.73{col 46}{space 3}0.000{col 54}{space 4} .5755261{col 67}{space 3} .6747194
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9249685{col 26}{space 2} .0218833{col 37}{space 1}  -42.27{col 46}{space 3}0.000{col 54}{space 4}   -.9679{col 67}{space 3} -.882037
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}-.5666074{col 26}{space 2} .0286994{col 37}{space 1}  -19.74{col 46}{space 3}0.000{col 54}{space 4} -.622911{col 67}{space 3}-.5103038
{txt}overconfid~t {c |}{col 14}{res}{space 2} 1.396832{col 26}{space 2} .0646553{col 37}{space 1}   21.60{col 46}{space 3}0.000{col 54}{space 4} 1.269989{col 67}{space 3} 1.523675
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0402764{col 26}{space 2} .0242042{col 37}{space 1}    1.66{col 46}{space 3}0.096{col 54}{space 4}-.0072083{col 67}{space 3} .0877611
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0611979{col 26}{space 2} .0489145{col 37}{space 1}    1.25{col 46}{space 3}0.211{col 54}{space 4}-.0347646{col 67}{space 3} .1571604
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0216361{col 26}{space 2} .0325772{col 37}{space 1}   -0.66{col 46}{space 3}0.507{col 54}{space 4}-.0855473{col 67}{space 3} .0422751
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0285872{col 26}{space 2} .0305856{col 37}{space 1}   -0.93{col 46}{space 3}0.350{col 54}{space 4}-.0885912{col 67}{space 3} .0314168
{txt}{space 4}malePlus {c |}{col 14}{res}{space 2} .2493491{col 26}{space 2} .0427481{col 37}{space 1}    5.83{col 46}{space 3}0.000{col 54}{space 4} .1654841{col 67}{space 3} .3332141
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1563017{col 26}{space 2} .0464724{col 37}{space 1}   -3.36{col 46}{space 3}0.001{col 54}{space 4}-.2474731{col 67}{space 3}-.0651303
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .1996875{col 26}{space 2} .0773034{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0480307{col 67}{space 3} .3513442
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1367005{col 26}{space 2} .0775612{col 37}{space 1}    1.76{col 46}{space 3}0.078{col 54}{space 4}-.0154621{col 67}{space 3} .2888631
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1032589{col 26}{space 2} .1125798{col 37}{space 1}    0.92{col 46}{space 3}0.359{col 54}{space 4}-.1176047{col 67}{space 3} .3241224
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2829197{col 26}{space 2} .0982366{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0901954{col 67}{space 3} .4756441
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1754999{col 26}{space 2}  .074473{col 37}{space 1}    2.36{col 46}{space 3}0.019{col 54}{space 4} .0293957{col 67}{space 3}  .321604
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0807967{col 26}{space 2} .0943397{col 37}{space 1}    0.86{col 46}{space 3}0.392{col 54}{space 4}-.1042827{col 67}{space 3}  .265876
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0950777{col 26}{space 2}  .192996{col 37}{space 1}    0.49{col 46}{space 3}0.622{col 54}{space 4}-.2835494{col 67}{space 3} .4737048
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2}  .083539{col 26}{space 2} .0592166{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0326344{col 67}{space 3} .1997124
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.3120594{col 26}{space 2} .1839091{col 37}{space 1}   -1.70{col 46}{space 3}0.090{col 54}{space 4}-.6728595{col 67}{space 3} .0487407
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m1mp
{txt}
{com}. 
. * Model 2 w/ malePlus *
. reg subjObj_gap_w2_5 c.delta_ka##c.ok_w1_3 c.delta_ok##c.ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo malePlus minority i.instructor_final i.sem 
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,285
{txt}{hline 13}{c +}{hline 34}   F(20, 1264)     = {res}   142.22
{txt}       Model {c |} {res} 1477.69897        20  73.8849487   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 656.682056     1,264  .519526943   {txt}R-squared       ={res}    0.6923
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6875
{txt}       Total {c |} {res} 2134.38103     1,284  1.66229052   {txt}Root MSE        =   {res} .72078

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .8501027{col 26}{space 2} .0481913{col 37}{space 1}   17.64{col 46}{space 3}0.000{col 54}{space 4}  .755559{col 67}{space 3} .9446465
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}-.4730849{col 26}{space 2} .0334769{col 37}{space 1}  -14.13{col 46}{space 3}0.000{col 54}{space 4}-.5387613{col 67}{space 3}-.4074086
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.1334597{col 26}{space 2} .0247252{col 37}{space 1}   -5.40{col 46}{space 3}0.000{col 54}{space 4}-.1819667{col 67}{space 3}-.0849527
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9842039{col 26}{space 2} .0336195{col 37}{space 1}  -29.27{col 46}{space 3}0.000{col 54}{space 4} -1.05016{col 67}{space 3}-.9182477
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}  .038716{col 26}{space 2} .0179324{col 37}{space 1}    2.16{col 46}{space 3}0.031{col 54}{space 4} .0035356{col 67}{space 3} .0738965
{txt}{space 12} {c |}
overconfid~t {c |}{col 14}{res}{space 2}  1.47232{col 26}{space 2} .0657393{col 37}{space 1}   22.40{col 46}{space 3}0.000{col 54}{space 4}  1.34335{col 67}{space 3}  1.60129
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0420791{col 26}{space 2} .0239331{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0048738{col 67}{space 3}  .089032
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0698197{col 26}{space 2} .0484704{col 37}{space 1}    1.44{col 46}{space 3}0.150{col 54}{space 4}-.0252716{col 67}{space 3}  .164911
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0256981{col 26}{space 2} .0322358{col 37}{space 1}   -0.80{col 46}{space 3}0.425{col 54}{space 4}-.0889396{col 67}{space 3} .0375434
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0369319{col 26}{space 2} .0302914{col 37}{space 1}   -1.22{col 46}{space 3}0.223{col 54}{space 4} -.096359{col 67}{space 3} .0224951
{txt}{space 4}malePlus {c |}{col 14}{res}{space 2} .2440855{col 26}{space 2} .0423389{col 37}{space 1}    5.77{col 46}{space 3}0.000{col 54}{space 4} .1610232{col 67}{space 3} .3271478
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1315993{col 26}{space 2} .0461793{col 37}{space 1}   -2.85{col 46}{space 3}0.004{col 54}{space 4}-.2221958{col 67}{space 3}-.0410027
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2042451{col 26}{space 2} .0764986{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} .0541668{col 67}{space 3} .3543233
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1378942{col 26}{space 2} .0767171{col 37}{space 1}    1.80{col 46}{space 3}0.073{col 54}{space 4}-.0126127{col 67}{space 3} .2884011
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1068444{col 26}{space 2} .1113126{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.1115335{col 67}{space 3} .3252223
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2829092{col 26}{space 2} .0971285{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4} .0923584{col 67}{space 3}   .47346
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1617128{col 26}{space 2} .0736861{col 37}{space 1}    2.19{col 46}{space 3}0.028{col 54}{space 4} .0171522{col 67}{space 3} .3062734
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0710218{col 26}{space 2} .0935005{col 37}{space 1}    0.76{col 46}{space 3}0.448{col 54}{space 4}-.1124115{col 67}{space 3} .2544551
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1013449{col 26}{space 2} .1908198{col 37}{space 1}    0.53{col 46}{space 3}0.595{col 54}{space 4}-.2730135{col 67}{space 3} .4757033
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1047707{col 26}{space 2} .0587257{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0104398{col 67}{space 3} .2199813
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4563655{col 26}{space 2} .1842368{col 37}{space 1}   -2.48{col 46}{space 3}0.013{col 54}{space 4}-.8178092{col 67}{space 3}-.0949219
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2mp
{txt}
{com}. 
. * Model 3 with 3way interaction and w/ malePlus *
. reg subjObj_gap_w2_5 c.delta_ka##i.overconfident##c.ok_w1_3 c.delta_ok##i.overconfident##c.ok_w1_3 courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo malePlus minority i.instructor_final i.sem
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,285
{txt}{hline 13}{c +}{hline 34}   F(25, 1259)     = {res}   115.22
{txt}       Model {c |} {res}  1485.2065        25  59.4082601   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  649.17453     1,259  .515627108   {txt}R-squared       ={res}    0.6958
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6898
{txt}       Total {c |} {res} 2134.38103     1,284  1.66229052   {txt}Root MSE        =   {res} .71807

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .8193739{col 26}{space 2} .0621524{col 37}{space 1}   13.18{col 46}{space 3}0.000{col 54}{space 4} .6974402{col 67}{space 3} .9413077
{txt}{space 12} {c |}
overconfid~t {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.232656{col 26}{space 2} .1328289{col 37}{space 1}    9.28{col 46}{space 3}0.000{col 54}{space 4}  .972066{col 67}{space 3} 1.493247
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .0389944{col 26}{space 2} .1023888{col 37}{space 1}    0.38{col 46}{space 3}0.703{col 54}{space 4}-.1618771{col 67}{space 3} .2398659
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}-.4961316{col 26}{space 2} .0386509{col 37}{space 1}  -12.84{col 46}{space 3}0.000{col 54}{space 4}-.5719589{col 67}{space 3}-.4203042
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.1259432{col 26}{space 2} .0301032{col 37}{space 1}   -4.18{col 46}{space 3}0.000{col 54}{space 4}-.1850011{col 67}{space 3}-.0668853
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .201101{col 26}{space 2} .0886942{col 37}{space 1}    2.27{col 46}{space 3}0.024{col 54}{space 4} .0270962{col 67}{space 3} .3751058
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}  .148914{col 26}{space 2} .0892214{col 37}{space 1}    1.67{col 46}{space 3}0.095{col 54}{space 4} -.026125{col 67}{space 3}  .323953
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2}-1.023876{col 26}{space 2} .0483459{col 37}{space 1}  -21.18{col 46}{space 3}0.000{col 54}{space 4}-1.118723{col 67}{space 3}-.9290286
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1373918{col 26}{space 2} .0713949{col 37}{space 1}    1.92{col 46}{space 3}0.055{col 54}{space 4}-.0026744{col 67}{space 3} .2774579
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2} .0584358{col 26}{space 2} .0234204{col 37}{space 1}    2.50{col 46}{space 3}0.013{col 54}{space 4} .0124885{col 67}{space 3} .1043831
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.1548237{col 26}{space 2} .0591951{col 37}{space 1}   -2.62{col 46}{space 3}0.009{col 54}{space 4}-.2709557{col 67}{space 3}-.0386918
{txt}{space 12} {c |}
courseAtte~2 {c |}{col 14}{res}{space 2}  .042098{col 26}{space 2} .0239291{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0048473{col 67}{space 3} .0890433
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0694902{col 26}{space 2} .0484733{col 37}{space 1}    1.43{col 46}{space 3}0.152{col 54}{space 4}-.0256072{col 67}{space 3} .1645876
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0222429{col 26}{space 2} .0322118{col 37}{space 1}   -0.69{col 46}{space 3}0.490{col 54}{space 4}-.0854377{col 67}{space 3} .0409519
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0321755{col 26}{space 2} .0302659{col 37}{space 1}   -1.06{col 46}{space 3}0.288{col 54}{space 4}-.0915527{col 67}{space 3} .0272016
{txt}{space 4}malePlus {c |}{col 14}{res}{space 2} .2373221{col 26}{space 2} .0422668{col 37}{space 1}    5.61{col 46}{space 3}0.000{col 54}{space 4} .1544011{col 67}{space 3} .3202432
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1305557{col 26}{space 2} .0462179{col 37}{space 1}   -2.82{col 46}{space 3}0.005{col 54}{space 4}-.2212283{col 67}{space 3}-.0398831
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2070441{col 26}{space 2} .0763321{col 37}{space 1}    2.71{col 46}{space 3}0.007{col 54}{space 4} .0572919{col 67}{space 3} .3567963
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1227434{col 26}{space 2} .0765477{col 37}{space 1}    1.60{col 46}{space 3}0.109{col 54}{space 4}-.0274317{col 67}{space 3} .2729185
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1171381{col 26}{space 2} .1110708{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4} -.100766{col 67}{space 3} .3350423
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2769577{col 26}{space 2}  .096841{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} .0869702{col 67}{space 3} .4669452
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1643889{col 26}{space 2} .0735328{col 37}{space 1}    2.24{col 46}{space 3}0.026{col 54}{space 4} .0201285{col 67}{space 3} .3086493
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0629257{col 26}{space 2} .0935448{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4}-.1205952{col 67}{space 3} .2464466
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1213924{col 26}{space 2} .1909323{col 37}{space 1}    0.64{col 46}{space 3}0.525{col 54}{space 4} -.253188{col 67}{space 3} .4959729
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1061841{col 26}{space 2} .0585804{col 37}{space 1}    1.81{col 46}{space 3}0.070{col 54}{space 4}-.0087418{col 67}{space 3}   .22111
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.4120218{col 26}{space 2} .1858305{col 37}{space 1}   -2.22{col 46}{space 3}0.027{col 54}{space 4}-.7765933{col 67}{space 3}-.0474503
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3mp
{txt}
{com}. 
. esttab m1mp m2mp m3mp, b(2) se(2) ar2 bic star(+ 0.1 * 0.05)
{res}
{txt}{hline 54}
{txt}                      (1)           (2)           (3) 
{txt}             subjObj_~2_5  subjObj_~2_5  subjObj_~2_5 
{txt}{hline 54}
{txt}delta_ka    {res}         0.63*         0.85*         0.82*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}delta_ok    {res}        -0.92*        -0.98*        -1.02*{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}ok_w1_3     {res}        -0.57*        -0.47*        -0.50*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}overconfid~t{res}         1.40*         1.47*              {txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}               {txt}

{txt}courseAtte~2{res}         0.04+         0.04+         0.04+{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}parentEdu_w1{res}         0.06          0.07          0.07 {txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}year_w1     {res}        -0.02         -0.03         -0.02 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}gpa_combo   {res}        -0.03         -0.04         -0.03 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}malePlus    {res}         0.25*         0.24*         0.24*{txt}
            {res} {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}minority    {res}        -0.16*        -0.13*        -0.13*{txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}1.instruct~l{res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}3.instruct~l{res}         0.20*         0.20*         0.21*{txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}4.instruct~l{res}         0.14+         0.14+         0.12 {txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}6.instruct~l{res}         0.10          0.11          0.12 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}} {txt}

{txt}7.instruct~l{res}         0.28*         0.28*         0.28*{txt}
            {res} {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}10.instruc~l{res}         0.18*         0.16*         0.16*{txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}11.instruc~l{res}         0.08          0.07          0.06 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}12.instruc~l{res}         0.10          0.10          0.12 {txt}
            {res} {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}} {txt}

{txt}1.sem       {res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}2.sem       {res}         0.08          0.10+         0.11+{txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}c.delta_ka~3{res}                      -0.13*        -0.13*{txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}ok_w1_3     {res}                       0.00               {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}               {txt}

{txt}c.delta_ok~3{res}                       0.04*         0.06*{txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}0.overconf~t{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~t{res}                                     1.23*{txt}
            {res}                             {ralign 12:{txt:(}0.13{txt:)}} {txt}

{txt}0.overconf~a{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~a{res}                                     0.04 {txt}
            {res}                             {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}0.overconf~3{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~3{res}                                     0.20*{txt}
            {res}                             {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                     0.15+{txt}
            {res}                             {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}ok_w1_3     {res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}0.overconf~k{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~k{res}                                     0.14+{txt}
            {res}                             {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                    -0.15*{txt}
            {res}                             {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}_cons       {res}        -0.31+        -0.46*        -0.41*{txt}
            {res} {ralign 12:{txt:(}0.18{txt:)}}  {ralign 12:{txt:(}0.18{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}} {txt}
{txt}{hline 54}
{txt}N           {res}         1285          1285          1285 {txt}
{txt}adj. R-sq   {res}        0.680         0.687         0.690 {txt}
{txt}BIC         {res}      2951.27       2934.36       2955.38 {txt}
{txt}{hline 54}
{txt}Standard errors in parentheses
{txt}+ p<0.1, * p<0.05

{com}. 
. * re-run models with 1 = female + transgender + other; 0 = male
. gen femalePlus = 1 if gender_other==2
{txt}(540 missing values generated)

{com}. replace femalePlus = 1 if gender_other==3
{txt}(3 real changes made)

{com}. replace femalePlus = 1 if gender_other==4
{txt}(10 real changes made)

{com}. replace femalePlus = 0 if gender_other==1
{txt}(526 real changes made)

{com}. 
. * Model 1 w/ femalePlus *
. reg subjObj_gap_w2_5 delta_ka delta_ok ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo femalePlus minority i.instructor_final i.sem 

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,285
{txt}{hline 13}{c +}{hline 34}   F(18, 1266)     = {res}   152.48
{txt}       Model {c |} {res} 1460.63481        18  81.1463785   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 673.746218     1,266  .532185007   {txt}R-squared       ={res}    0.6843
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6798
{txt}       Total {c |} {res} 2134.38103     1,284  1.66229052   {txt}Root MSE        =   {res} .72951

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .6261582{col 26}{space 2} .0253044{col 37}{space 1}   24.74{col 46}{space 3}0.000{col 54}{space 4} .5765149{col 67}{space 3} .6758014
{txt}{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9246019{col 26}{space 2} .0218989{col 37}{space 1}  -42.22{col 46}{space 3}0.000{col 54}{space 4}-.9675641{col 67}{space 3}-.8816398
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} -.564395{col 26}{space 2} .0286907{col 37}{space 1}  -19.67{col 46}{space 3}0.000{col 54}{space 4}-.6206816{col 67}{space 3}-.5081084
{txt}overconfid~t {c |}{col 14}{res}{space 2} 1.398633{col 26}{space 2} .0646844{col 37}{space 1}   21.62{col 46}{space 3}0.000{col 54}{space 4} 1.271733{col 67}{space 3} 1.525533
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0394412{col 26}{space 2} .0242203{col 37}{space 1}    1.63{col 46}{space 3}0.104{col 54}{space 4}-.0080752{col 67}{space 3} .0869577
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0616747{col 26}{space 2} .0489566{col 37}{space 1}    1.26{col 46}{space 3}0.208{col 54}{space 4}-.0343702{col 67}{space 3} .1577197
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2} -.022619{col 26}{space 2} .0326076{col 37}{space 1}   -0.69{col 46}{space 3}0.488{col 54}{space 4}-.0865898{col 67}{space 3} .0413519
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2} -.029808{col 26}{space 2} .0305932{col 37}{space 1}   -0.97{col 46}{space 3}0.330{col 54}{space 4}-.0898269{col 67}{space 3} .0302109
{txt}{space 2}femalePlus {c |}{col 14}{res}{space 2}-.2438842{col 26}{space 2} .0429339{col 37}{space 1}   -5.68{col 46}{space 3}0.000{col 54}{space 4}-.3281137{col 67}{space 3}-.1596548
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1538439{col 26}{space 2} .0465114{col 37}{space 1}   -3.31{col 46}{space 3}0.001{col 54}{space 4}-.2450919{col 67}{space 3} -.062596
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .1993564{col 26}{space 2} .0773629{col 37}{space 1}    2.58{col 46}{space 3}0.010{col 54}{space 4} .0475829{col 67}{space 3}   .35113
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .135748{col 26}{space 2} .0776271{col 37}{space 1}    1.75{col 46}{space 3}0.081{col 54}{space 4}-.0165439{col 67}{space 3} .2880398
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1011875{col 26}{space 2} .1126747{col 37}{space 1}    0.90{col 46}{space 3}0.369{col 54}{space 4}-.1198622{col 67}{space 3} .3222371
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .285864{col 26}{space 2} .0982879{col 37}{space 1}    2.91{col 46}{space 3}0.004{col 54}{space 4}  .093039{col 67}{space 3} .4786891
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1775105{col 26}{space 2} .0745119{col 37}{space 1}    2.38{col 46}{space 3}0.017{col 54}{space 4} .0313301{col 67}{space 3} .3236908
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0852233{col 26}{space 2} .0943606{col 37}{space 1}    0.90{col 46}{space 3}0.367{col 54}{space 4}-.0998971{col 67}{space 3} .2703437
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1092865{col 26}{space 2} .1931749{col 37}{space 1}    0.57{col 46}{space 3}0.572{col 54}{space 4}-.2696917{col 67}{space 3} .4882647
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .0834366{col 26}{space 2} .0592579{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.0328179{col 67}{space 3} .1996911
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  -.06179{col 26}{space 2} .1860073{col 37}{space 1}   -0.33{col 46}{space 3}0.740{col 54}{space 4}-.4267065{col 67}{space 3} .3031266
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m1fp
{txt}
{com}. 
. * Model 2 w/ femalePlus *
. reg subjObj_gap_w2_5 c.delta_ka##c.ok_w1_3 c.delta_ok##c.ok_w1_3 overconfident courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo femalePlus minority i.instructor_final i.sem 
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,285
{txt}{hline 13}{c +}{hline 34}   F(20, 1264)     = {res}   141.91
{txt}       Model {c |} {res} 1476.72154        20  73.8360768   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 657.659496     1,264  .520300234   {txt}R-squared       ={res}    0.6919
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6870
{txt}       Total {c |} {res} 2134.38103     1,284  1.66229052   {txt}Root MSE        =   {res} .72132

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .8502588{col 26}{space 2} .0482274{col 37}{space 1}   17.63{col 46}{space 3}0.000{col 54}{space 4} .7556442{col 67}{space 3} .9448733
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}-.4713352{col 26}{space 2} .0334838{col 37}{space 1}  -14.08{col 46}{space 3}0.000{col 54}{space 4}-.5370251{col 67}{space 3}-.4056452
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.1329046{col 26}{space 2} .0247447{col 37}{space 1}   -5.37{col 46}{space 3}0.000{col 54}{space 4}-.1814497{col 67}{space 3}-.0843594
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2}-.9847889{col 26}{space 2} .0336418{col 37}{space 1}  -29.27{col 46}{space 3}0.000{col 54}{space 4}-1.050789{col 67}{space 3} -.918789
{txt}{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2} .0393844{col 26}{space 2} .0179407{col 37}{space 1}    2.20{col 46}{space 3}0.028{col 54}{space 4} .0041875{col 67}{space 3} .0745812
{txt}{space 12} {c |}
overconfid~t {c |}{col 14}{res}{space 2} 1.474367{col 26}{space 2} .0657716{col 37}{space 1}   22.42{col 46}{space 3}0.000{col 54}{space 4} 1.345333{col 67}{space 3}   1.6034
{txt}courseAtte~2 {c |}{col 14}{res}{space 2} .0412557{col 26}{space 2} .0239507{col 37}{space 1}    1.72{col 46}{space 3}0.085{col 54}{space 4}-.0057318{col 67}{space 3} .0882431
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0702475{col 26}{space 2} .0485179{col 37}{space 1}    1.45{col 46}{space 3}0.148{col 54}{space 4} -.024937{col 67}{space 3} .1654319
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}-.0265768{col 26}{space 2} .0322679{col 37}{space 1}   -0.82{col 46}{space 3}0.410{col 54}{space 4}-.0898813{col 67}{space 3} .0367278
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0381181{col 26}{space 2} .0303021{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-.0975661{col 67}{space 3} .0213298
{txt}{space 2}femalePlus {c |}{col 14}{res}{space 2}-.2378818{col 26}{space 2} .0425144{col 37}{space 1}   -5.60{col 46}{space 3}0.000{col 54}{space 4}-.3212883{col 67}{space 3}-.1544752
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1292035{col 26}{space 2} .0462195{col 37}{space 1}   -2.80{col 46}{space 3}0.005{col 54}{space 4}-.2198788{col 67}{space 3}-.0385282
{txt}{space 12} {c |}
instructor~l {c |}
{space 10}3  {c |}{col 14}{res}{space 2} .2038368{col 26}{space 2} .0765634{col 37}{space 1}    2.66{col 46}{space 3}0.008{col 54}{space 4} .0536314{col 67}{space 3} .3540422
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1369317{col 26}{space 2} .0767879{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4} -.013714{col 67}{space 3} .2875775
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1048584{col 26}{space 2} .1114141{col 37}{space 1}    0.94{col 46}{space 3}0.347{col 54}{space 4}-.1137186{col 67}{space 3} .3234354
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2858745{col 26}{space 2} .0971856{col 37}{space 1}    2.94{col 46}{space 3}0.003{col 54}{space 4} .0952117{col 67}{space 3} .4765373
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .1638256{col 26}{space 2} .0737289{col 37}{space 1}    2.22{col 46}{space 3}0.026{col 54}{space 4} .0191812{col 67}{space 3} .3084701
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  .075206{col 26}{space 2} .0935325{col 37}{space 1}    0.80{col 46}{space 3}0.422{col 54}{space 4}-.1082901{col 67}{space 3} .2587021
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1151251{col 26}{space 2} .1910096{col 37}{space 1}    0.60{col 46}{space 3}0.547{col 54}{space 4}-.2596057{col 67}{space 3} .4898559
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1047032{col 26}{space 2} .0587707{col 37}{space 1}    1.78{col 46}{space 3}0.075{col 54}{space 4}-.0105957{col 67}{space 3} .2200021
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.2110563{col 26}{space 2} .1862922{col 37}{space 1}   -1.13{col 46}{space 3}0.257{col 54}{space 4}-.5765322{col 67}{space 3} .1544195
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2fp
{txt}
{com}. 
. * Model 3 with 3way interaction and w/ femalePlus *
. reg subjObj_gap_w2_5 c.delta_ka##i.overconfident##c.ok_w1_3 c.delta_ok##i.overconfident##c.ok_w1_3 courseAttendance_w2 parentEdu_w1 year_w1 gpa_combo femalePlus minority i.instructor_final i.sem
{txt}{p 0 6 2}note: {bf:ok_w1_3} omitted because of collinearity.{p_end}

      Source {c |}       SS           df       MS      Number of obs   ={res}     1,285
{txt}{hline 13}{c +}{hline 34}   F(25, 1259)     = {res}   114.95
{txt}       Model {c |} {res} 1484.16959        25  59.3667834   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 650.211445     1,259  .516450711   {txt}R-squared       ={res}    0.6954
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6893
{txt}       Total {c |} {res} 2134.38103     1,284  1.66229052   {txt}Root MSE        =   {res} .71865

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}subjObj_~2_5{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}delta_ka {c |}{col 14}{res}{space 2} .8196504{col 26}{space 2} .0622026{col 37}{space 1}   13.18{col 46}{space 3}0.000{col 54}{space 4} .6976183{col 67}{space 3} .9416825
{txt}{space 12} {c |}
overconfid~t {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} 1.233002{col 26}{space 2} .1329387{col 37}{space 1}    9.27{col 46}{space 3}0.000{col 54}{space 4}  .972196{col 67}{space 3} 1.493808
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .0395177{col 26}{space 2}   .10247{col 37}{space 1}    0.39{col 46}{space 3}0.700{col 54}{space 4} -.161513{col 67}{space 3} .2405484
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2} -.494595{col 26}{space 2} .0386691{col 37}{space 1}  -12.79{col 46}{space 3}0.000{col 54}{space 4}-.5704579{col 67}{space 3}-.4187321
{txt}{space 12} {c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2}-.1253217{col 26}{space 2} .0301285{col 37}{space 1}   -4.16{col 46}{space 3}0.000{col 54}{space 4}-.1844293{col 67}{space 3}-.0662141
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .2023107{col 26}{space 2} .0887641{col 37}{space 1}    2.28{col 46}{space 3}0.023{col 54}{space 4}  .028169{col 67}{space 3} .3764525
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ka#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1456002{col 26}{space 2} .0893052{col 37}{space 1}    1.63{col 46}{space 3}0.103{col 54}{space 4}-.0296032{col 67}{space 3} .3208036
{txt}{space 12} {c |}
{space 4}delta_ok {c |}{col 14}{res}{space 2}-1.024652{col 26}{space 2} .0483825{col 37}{space 1}  -21.18{col 46}{space 3}0.000{col 54}{space 4}-1.119571{col 67}{space 3}-.9297329
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2} .1381757{col 26}{space 2} .0714503{col 37}{space 1}    1.93{col 46}{space 3}0.053{col 54}{space 4}-.0019991{col 67}{space 3} .2783505
{txt}{space 12} {c |}
{space 5}ok_w1_3 {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}{col 14}{res}{space 2} .0591711{col 26}{space 2} .0234334{col 37}{space 1}    2.53{col 46}{space 3}0.012{col 54}{space 4} .0131982{col 67}{space 3} .1051439
{txt}{space 12} {c |}
overconfid~t#{c |}
{space 2}c.delta_ok#{c |}
{space 3}c.ok_w1_3 {c |}
{space 2}Overconf.  {c |}{col 14}{res}{space 2}-.1557449{col 26}{space 2} .0592391{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.2719632{col 67}{space 3}-.0395267
{txt}{space 12} {c |}
courseAtte~2 {c |}{col 14}{res}{space 2} .0413742{col 26}{space 2}  .023948{col 37}{space 1}    1.73{col 46}{space 3}0.084{col 54}{space 4}-.0056083{col 67}{space 3} .0883566
{txt}parentEdu_w1 {c |}{col 14}{res}{space 2} .0700132{col 26}{space 2} .0485232{col 37}{space 1}    1.44{col 46}{space 3}0.149{col 54}{space 4}-.0251821{col 67}{space 3} .1652085
{txt}{space 5}year_w1 {c |}{col 14}{res}{space 2}  -.02305{col 26}{space 2}  .032246{col 37}{space 1}   -0.71{col 46}{space 3}0.475{col 54}{space 4}-.0863119{col 67}{space 3} .0402119
{txt}{space 3}gpa_combo {c |}{col 14}{res}{space 2}-.0333467{col 26}{space 2}  .030279{col 37}{space 1}   -1.10{col 46}{space 3}0.271{col 54}{space 4}-.0927496{col 67}{space 3} .0260561
{txt}{space 2}femalePlus {c |}{col 14}{res}{space 2}-.2305039{col 26}{space 2} .0424618{col 37}{space 1}   -5.43{col 46}{space 3}0.000{col 54}{space 4}-.3138076{col 67}{space 3}-.1472003
{txt}{space 4}minority {c |}{col 14}{res}{space 2}-.1282633{col 26}{space 2} .0462618{col 37}{space 1}   -2.77{col 46}{space 3}0.006{col 54}{space 4}-.2190221{col 67}{space 3}-.0375045
{txt}{space 12} {c |}
instructor~l {c |}
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{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1150831{col 26}{space 2} .1111796{col 37}{space 1}    1.04{col 46}{space 3}0.301{col 54}{space 4}-.1030346{col 67}{space 3} .3332009
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2799208{col 26}{space 2} .0969029{col 37}{space 1}    2.89{col 46}{space 3}0.004{col 54}{space 4} .0898119{col 67}{space 3} .4700297
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{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0668992{col 26}{space 2} .0935844{col 37}{space 1}    0.71{col 46}{space 3}0.475{col 54}{space 4}-.1166994{col 67}{space 3} .2504978
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .1342768{col 26}{space 2} .1911334{col 37}{space 1}    0.70{col 46}{space 3}0.482{col 54}{space 4}-.2406982{col 67}{space 3} .5092518
{txt}{space 12} {c |}
{space 9}sem {c |}
{space 8}S23  {c |}{col 14}{res}{space 2} .1061109{col 26}{space 2} .0586286{col 37}{space 1}    1.81{col 46}{space 3}0.071{col 54}{space 4}-.0089096{col 67}{space 3} .2211314
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}-.1741365{col 26}{space 2}  .187802{col 37}{space 1}   -0.93{col 46}{space 3}0.354{col 54}{space 4}-.5425758{col 67}{space 3} .1943028
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3fp
{txt}
{com}. esttab m1fp m2fp m3fp, b(2) se(2) ar2 bic star(+ 0.1 * 0.05)
{res}
{txt}{hline 54}
{txt}                      (1)           (2)           (3) 
{txt}             subjObj_~2_5  subjObj_~2_5  subjObj_~2_5 
{txt}{hline 54}
{txt}delta_ka    {res}         0.63*         0.85*         0.82*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}delta_ok    {res}        -0.92*        -0.98*        -1.02*{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}ok_w1_3     {res}        -0.56*        -0.47*        -0.49*{txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}overconfid~t{res}         1.40*         1.47*              {txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}               {txt}

{txt}courseAtte~2{res}         0.04          0.04+         0.04+{txt}
            {res} {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}parentEdu_w1{res}         0.06          0.07          0.07 {txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}year_w1     {res}        -0.02         -0.03         -0.02 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}gpa_combo   {res}        -0.03         -0.04         -0.03 {txt}
            {res} {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}femalePlus  {res}        -0.24*        -0.24*        -0.23*{txt}
            {res} {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}}  {ralign 12:{txt:(}0.04{txt:)}} {txt}

{txt}minority    {res}        -0.15*        -0.13*        -0.13*{txt}
            {res} {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}}  {ralign 12:{txt:(}0.05{txt:)}} {txt}

{txt}1.instruct~l{res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}3.instruct~l{res}         0.20*         0.20*         0.21*{txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}4.instruct~l{res}         0.14+         0.14+         0.12 {txt}
            {res} {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}}  {ralign 12:{txt:(}0.08{txt:)}} {txt}

{txt}6.instruct~l{res}         0.10          0.10          0.12 {txt}
            {res} {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}}  {ralign 12:{txt:(}0.11{txt:)}} {txt}

{txt}7.instruct~l{res}         0.29*         0.29*         0.28*{txt}
            {res} {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}}  {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}10.instruc~l{res}         0.18*         0.16*         0.17*{txt}
            {res} {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}}  {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}11.instruc~l{res}         0.09          0.08          0.07 {txt}
            {res} {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}}  {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}12.instruc~l{res}         0.11          0.12          0.13 {txt}
            {res} {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}} {txt}

{txt}1.sem       {res}         0.00          0.00          0.00 {txt}
            {res} {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}}  {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}2.sem       {res}         0.08          0.10+         0.11+{txt}
            {res} {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}}  {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}c.delta_ka~3{res}                      -0.13*        -0.13*{txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.03{txt:)}} {txt}

{txt}ok_w1_3     {res}                       0.00               {txt}
            {res}               {ralign 12:{txt:(}.{txt:)}}               {txt}

{txt}c.delta_ok~3{res}                       0.04*         0.06*{txt}
            {res}               {ralign 12:{txt:(}0.02{txt:)}}  {ralign 12:{txt:(}0.02{txt:)}} {txt}

{txt}0.overconf~t{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~t{res}                                     1.23*{txt}
            {res}                             {ralign 12:{txt:(}0.13{txt:)}} {txt}

{txt}0.overconf~a{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~a{res}                                     0.04 {txt}
            {res}                             {ralign 12:{txt:(}0.10{txt:)}} {txt}

{txt}0.overconf~3{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~3{res}                                     0.20*{txt}
            {res}                             {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                     0.15 {txt}
            {res}                             {ralign 12:{txt:(}0.09{txt:)}} {txt}

{txt}ok_w1_3     {res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}0.overconf~k{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~k{res}                                     0.14+{txt}
            {res}                             {ralign 12:{txt:(}0.07{txt:)}} {txt}

{txt}0.overconf~1{res}                                     0.00 {txt}
            {res}                             {ralign 12:{txt:(}.{txt:)}} {txt}

{txt}1.overconf~1{res}                                    -0.16*{txt}
            {res}                             {ralign 12:{txt:(}0.06{txt:)}} {txt}

{txt}_cons       {res}        -0.06         -0.21         -0.17 {txt}
            {res} {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}}  {ralign 12:{txt:(}0.19{txt:)}} {txt}
{txt}{hline 54}
{txt}N           {res}         1285          1285          1285 {txt}
{txt}adj. R-sq   {res}        0.680         0.687         0.689 {txt}
{txt}BIC         {res}      2953.01       2936.27       2957.43 {txt}
{txt}{hline 54}
{txt}Standard errors in parentheses
{txt}+ p<0.1, * p<0.05

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/jjansa/Dropbox/Learning in American Govt Project/Calibrating Confidence -- MPSA 2023/Data/jrs_calibrate_log_2.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}12 Jul 2024, 17:41:37
{txt}{.-}
{smcl}
{txt}{sf}{ul off}